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New features

This section describes the new features introduced in the most recent releases of OpenText™ Analytics Database and provides references to detailed information in the documentation set.

New features

This section describes the new features introduced in the most recent releases of OpenText™ Analytics Database and provides references to detailed information in the documentation.

For known and fixed issues in the most recent release, see the Release Notes.

2 - OpenText Core Analytics Database

OTCAD provides data analysts and business intelligence professionals with access to powerful analytics and reporting tools, facilitating efficient insights from large datasets.

Create comprehensive database designs with database designer

The database designer is enhanced to help database administrators create comprehensive database designs. These comprehensive database designs enable administrators to perform a detailed design analysis by providing additional inputs, including design type, objectives, options, and sample queries for both schemas and tables.

Enhanced Query Console

The SQL query console is now enhanced to significantly improve SQL execution experience. You can run multiple SQL statements in a single execution and view their result sets sequentially, simplifying complex operations.

Enhanced schema and object management

The SQL editor provides improved object management. This update simplifies the creation and management of database objects, allowing you to effortlessly create views, procedures, and flex tables. You can also preview the generated SQL at each step, ensuring greater control and accuracy.

Create and manage data loading from local files

Data loading capabilities are enhanced in OTCAD. This new feature empowers you to effortlessly load data directly from your local files. CSV, TSV, and parquet file types are supported for data ingestion.

Generation of Scrutinizer log files from the UI

Database administrators can now directly generate Scrutinizer log files from the OTCAD UI. This new capability significantly reduces manual touchpoints and accelerates the turnaround time for support and service requests, enhancing efficiency and simplifying troubleshooting workflows.

Voltage SecureData integration

Voltage SecureData is a suite of encryption technologies that let you integrate end-to-end data encryption into other applications. OTCAD now supports Voltage SecureData integration. For more information about Voltage Secure Data, see the Voltage web site.

3 - Deprecated and removed functionality

OpenText™ Analytics Database retires functionality in two phases:.

OpenText™ Analytics Database retires functionality in two phases:

  • Deprecated: Deprecated features and functionality are announced in a major or minor release. Deprecated features remain in the product and are functional. Published release documentation announces deprecation on this page. When users access this functionality, it may return informational messages about its pending removal.

  • Removed: Feature are removed in a major or minor release that follows the deprecation announcement. Users can no longer access the functionality, and this page is updated to verify removal (see History, below). Documentation that describes this functionality is removed, but remains in previous documentation versions.

Deprecated

Removed

The following functionality has been removed:

Release Functionality Notes
26.1 Community Edition trial RPMs, images, and containers Sign up for a free trial of OpenText™ Analytics Database.

History

The following functionality or support has been deprecated or removed as indicated:

Functionality Component Deprecated in: Removed in:
OAuth2JITClient security parameter. Server 24.2.0

The following Helm chart parameters:

  • logging.maxFileSize
  • logging.maxFileAge
  • logging.filePath
  • logging.maxFileRotation
Kubernetes 24.2.0

The following JDBC and ODBC connection properties:

  • OAuthRefreshToken/oauthrefreshtoken
  • OAuthClientSecret/oauthclientsecret
  • oauthtruststorepath (JDBC only)
  • oauthtruststorepassword (JDBC only)
Client drivers 24.1.0
Integration with the Linux logrotate utility Server 24.1.0
vbr utility in Kubernetes pods Kubernetes 24.1.0
Scrutinize in Kubernetes pods Kubernetes 24.1.0
v1beta1 VerticaDB custom resource definition API version Kubernetes 23.4.0 25.3.0
serviceAccountNameOverride Helm chart parameter Kubernetes 23.4.0 24.1.0
skipRoleAndRoleBindingCreation Helm chart parameter Kubernetes 23.4.0 24.1.0
spec.communal.kerberosRealm VerticaDB custom resource definition parameter Kubernetes 23.4.0 24.1.0
spec.communal.kerberosServiceName VerticaDB custom resource definition parameter Kubernetes 23.4.0 24.1.0
spec.temporarySubclusterRouting VerticaDB custom resource definition parameter Kubernetes 23.4.0 24.1.0
Vertica Kubernetes (No keys) image Kubernetes 23.4.0 24.1.0
Vertica Kubernetes admintools support Kubernetes 23.4.0 24.1.0
Oracle Enterprise Linux 6.x (Red Hat compatible kernels only) Supported platforms 23.4.0 24.1.0
Oracle Enterprise Linux 7.x (Red Hat compatible kernels only) Supported platforms 23.4.0
Red Hat Enterprise Linux 7.x (RHEL 7) support Supported platforms 23.4.0 24.1.0

The following log search tokenizers:

  • v_txtindex.AdvancedLogTokenizer
  • v_txtindex.BasicLogTokenizer
  • v_txtindex.WhitespaceLogTokenizer
  • logWordITokenizerPositionFactory and logWordITokenizerFactory from the v_txtindex.logSearchLib library
Server 23.4.0 24.1.0
DHParams Server 23.3.0
OAuthJsonConfig and oauthjsonconfig Client drivers 23.3.0
Visual Studio 2012, 2013, and 2015 plug-ins and the Microsoft Connectivity Pack Client drivers 12.0.4 23.3.0
ADO.NET driver support for .NET 3.5 Client drivers 12.0.3
prometheus.createServiceMonitor Helm chart parameter Kubernetes 12.0.3
webhook.caBundle Helm chart parameter Kubernetes 12.0.3 24.1.0
cert-manager for Helm chart TLS configuration Kubernetes 12.0.2 23.3.0
Use webhook.certSource parameter to generate certificates internally or provide custom certificates. See Helm chart parameters. Kubernetes 12.0.2

The following Kafka user-defined session parameters:

  • kafka_SSL_CA

  • kafka_SSL_Certificate

  • kafka_SSL_PrivateKey_Secret

  • kafka_SSL_PrivateKeyPassword_secret

  • kafka_Enable_SSL

Kafka 12.0.3
vsql support for macOS 10.12-10.14 Client drivers 12.0.3
CA bundles Security 12.0.2

The following parameters for CREATE NOTIFIER and ALTER NOTIFIER:

  • TLSMODE

  • CA BUNDLE

  • CERTIFICATE

Security 12.0.2
The TLSMODE PREFER parameter for CONNECT TO VERTICA. Security 12.0.2
JDBC 4.0 and 4.1 support Client drivers 12.0.2 23.4.0
Support for Visual Studio 2008 and 2010 plug-ins Client drivers 12.0.2 12.0.3
Internet Explorer 11 support Management Console 12.0.1
ODBC support for macOS 10.12-10.14 Client drivers 12.0

The following ODBC/JDBC OAuth parameters:

  • OAuthAccessToken/oauthaccesstoken

  • OAuthRefreshToken/oauthrefreshtoken

  • OAuthClientId/oauthclientid

  • OAuthClientSecret/oauthclientsecret

  • OAuthTokenUrl/oauthtokenurl

  • OAuthDiscoveryUrl/oauthdiscoveryurl

  • OAuthScope/oauthscope

Client drivers 12.0
hive_partition_cols parameter for PARQUET and ORC parsers Server 12.0

The following ODBC/JDBC OAuth parameters:

  • OAuthAccessToken/oauthaccesstoken

  • OAuthRefreshToken/oauthrefreshtoken

  • OAuthClientId/oauthclientid

  • OAuthClientSecret/oauthclientsecret

  • OAuthTokenUrl/oauthtokenurl

  • OAuthDiscoveryUrl/oauthdiscoveryurl

  • OAuthScope/oauthscope

Client drivers 12.0
INFER_EXTERNAL_TABLE_DDL function Server 11.1.1
Admission Controller Webhook image Kubernetes 11.0.1 11.0.2
Admission Controller Helm chart Kubernetes 11.0.1
Shared DATA and DATA,TEMP storage locations Server 11.0.1
DESIGN_ALL option for EXPORT_CATALOG() Server 11.0
HDFSUseWebHDFS configuration parameter, HCatalogConnectorUseLibHDFSPP, and LibHDFS++ Server 11.0 25.1
INFER_EXTERNAL_TABLE_DDL (path, table) syntax Server 11.0 11.1.1

AWS library functions:

  • AWS_GET_CONFIG

  • AWS_SET_CONFIG

  • S3EXPORT

  • S3EXPORT_PARTITION

Server 11.0 12.0
Vertica Spark connector V1 Client 11.0
admintools db_add_subcluster --is-secondary argument Server 11.0
Red Hat Enterprise Linux/CentOS 6.x Server 10.1.1 11.0
STRING_TO_ARRAY(array,delimiter) syntax Server 10.1.1
Vertica JDBC API com.vertica.jdbc.kv package Client Drivers 10.1
ARRAY_CONTAINS function Server 10.1

Client-server TLS parameters:

  • SSLCertificate

  • SSLPrivateKey

  • SSLCA

  • EnableSSL

LDAP authentication parameters:

  • tls_key

  • tls_cert

  • tls_cacert

  • tls_reqcert

LDAPLink and LDAPLink dry-run parameters:

  • LDAPLinkTLSCACert

  • LDAPLinkTLSCADir

  • LDAPLinkStartTLS

  • LDAPLinkTLSReqCert

Server 10.1 11.0
MD5 hashing algorithm for user passwords Server 10.1
Reading structs from ORC files as expanded columns Server 10.1 11.0
vbr configuration section [S3] and S3 configuration parameters Server 10.1
flatten_complex_type_nulls parameter to the ORC and Parquet parsers Server 10.1 11.0
System table WOS_CONTAINER_STORAGE Server 10.0.1 11.0.2
skip_strong_schema_match parameter to the Parquet parser Server 10.0.1 10.1
Specifying segmentation on specific nodes Server 10.0.1
DBD meta-function DESIGNER_SET_ANALYZE_CORRELATIONS_MODE Server 10.0.1 11.0.1
Meta-function ANALYZE_CORRELATIONS Server 10.0
Eon Mode meta-function BACKGROUND_DEPOT_WARMING Server 10.0
Reading structs from Parquet files as expanded columns Server 10.0 10.1

Eon Mode meta-functions:

  • SET_DEPOT_PIN_POLICY

  • CLEAR_DEPOT_PIN_POLICY

Server 10.0 10.1
vbr configuration parameter SnapshotEpochLagFailureThreshold Server 10.0

Array-specific functions:

  • array_min

  • array_max

  • array_sum

  • array_avg

Server 10.0 10.1
DMLTargetDirect configuration parameter Server 10.0
HiveMetadataCacheSizeMB configuration parameter Server 10.0 10.1
MoveOutInterval Server 10.0
MoveOutMaxAgeTime Server 10.0
MoveOutSizePct Server 10.0
Windows 7 Client Drivers 9.3.1
DATABASE_PARAMETERS admintools command Server 9.3.1
Write-optimized store (WOS) Server 9.3 10.0
7.2_upgrade vbr task Server 9.3
DropFailedToActivateSubscriptions configuration parameter Server 9.3 10.0
--skip-fs-checks Server 9.2.1
32-bit ODBC Linux and OS X client drivers Client 9.2.1 9.3
Vertica Python client Client 9.2.1 10.0
macOS 10.11 Client 9.2.1
DisableDirectToCommunalStorageWrites configuration parameter Server 9.2.1
CONNECT_TO_VERTICA meta-function Server 9.2.1 9.3
ReuseDataConnections configuration parameter Server 9.2.1 9.3
Network interfaces (superseded by network addresses) Server 9.2
Database branching Server 9.2 10.0
KERBEROS_HDFS_CONFIG_CHECK meta-function Server 9.2
Java 5 support JDBC Client 9.2 9.2.1

Configuration parameters for enabling projections with aggregated data:

  • EnableExprsInProjections

  • EnableGroupByProjections

  • EnableTopKProjections

  • EnableUDTProjections

Server 9.2
DISABLE_ELASTIC_CLUSTER() Server 9.1.1 11.0
eof_timeout parameter of KafkaSource Server 9.1.1 9.2
Windows Server 2012 Server 9.1.1
Debian 7.6, 7.7 Client driver 9.1.1 9.2.1
IdolLib function library Server 9.1 9.1.1
SSL certificates that contain weak CA signatures such as MD5 Server 9.1
HCatalogConnectorUseLibHDFSPP configuration parameter Server 9.1 25.1
S3 UDSource Server 9.1 9.1.1
HCatalog Connector support for WebHCat Server 9.1
partition_key column in system tables STRATA and STRATA_STRUCTURES Server 9.1 10.0.1
Vertica Pulse Server 9.0.1 9.1.1
Support for SQL Server 2008 Server 9.0.1 9.0.1
SUMMARIZE_MODEL meta-function Server 9.0 9.1
RestrictSystemTable parameter Server 9.0.1
S3EXPORT multipart parameter Server 9.0
EnableStorageBundling configuration parameter Server 9.0
Machine Learning for Predictive Analytics package parameter key_columns for data preparation functions. Server 9.0 9.0.1
DROP_PARTITION meta-function, superseded by DROP_PARTITIONS Server 9.0
Machine Learning for Predictive Analytics package parameter owner. Server 8.1.1 9.0
Backup and restore --setupconfig command Server 8.1 9.1.1
SET_RECOVER_BY_TABLE meta-function. Do not disable recovery by table. Server 8.0.1
Column rebalance_projections_status.duration_sec Server 8.0
HDFS Connector Server 8.0 9.0
Prejoin projections Server 8.0 9.2
Administration Tools option --compat21 Server 7.2.1
admin_tools -t config_nodes Server 7.2 11.0.1
Projection buddies with inconsistent sort order Server 7.2 9.0
backup.sh Server 7.2 9.0
restore.sh Server 7.2 9.0
copy_vertica_database.sh Server 7.2
JavaClassPathForUDx configuration parameter Server 7.1
ADD_LOCATION meta-function Server 7.1
bwlimit configuration parameter Server 7.1 9.0
vbr configuration parameters retryCount and retryDelay Server 7.1 11.0
EXECUTION_ENGINE_PROFILE counters: file handles, memory allocated Server 7.0 9.3
EXECUTION_ENGINE_PROFILES counter memory reserved Server 7.0
MERGE_PARTITIONS() meta-function Server 7.0

krb5 client authentication method

All clients 7.0
range-segmentation-clause Server 6.1.1 9.2
scope parameter of meta-function CLEAR_PROFILING Server 6.1
Projection creation type IMPLEMENT_TEMP_DESIGN Server, clients 6.1

4 - New and changed in version 26.2

New features and changes in version 26.2

Support multiple JWT public keys and optional JWK endpoint

OpenText™ Analytics Database now supports additional key sources for JWT token validation in OAuth authentication records. Two new parameters have been added:

  • jwt_ec_public_key: An EC (Elliptic Curve) public key, equivalent to the existing jwt_rsa_public_key parameter but for EC keys.
  • jwt_jwks_url: A URL pointing to the identity provider's JWK endpoint. The database automatically retrieves signing keys from this endpoint, eliminating the need to manually update keys during identity provider key rotation.

With these changes, jwt_rsa_public_key is no longer required. At least one of jwt_rsa_public_key, jwt_ec_public_key, or jwt_jwks_url must be set for a JWT authentication record to be active. You can configure any combination of these parameters.

See OAuth authentication parameters for more information.

Init containers for VerticaDB on Kubernetes

Run pre-start initialization tasks using init containers in the VerticaDB custom resource. You can now define containers that execute sequentially before the database server starts to prepare dependencies and validate the environment. For more information, see VerticaDB custom resource definition.

VerticaRestorePointsQuery custom resource

Manage database restore points using the VerticaRestorePointsQuery custom resource. You can now save, view, and restore from restore points. You can also alter or drop archives. For more information, see VerticaRestorePointsQuery custom resource definition.

Iceberg namespace support

Support is added for Apache Iceberg namespaces, enabling namespace management through CREATE ICEBERG NAMESPACE, ALTER ICEBERG NAMESPACE, and DROP NAMESPACE statements. Iceberg namespace metadata is available in the V_CATALOG system tables.

Automatic unsegmentation for non-superprojection tables

OpenText™ Analytics Database can automatically create unsegmented projections for tables that are created without a superprojection when they are first populated using a COPY operation with small source files. This behavior improves performance for small tables by eliminating the overhead of distributed processing. For more information, see Unsegmented projections.

Export to Iceberg tables

OpenText™ Analytics Database supports exporting to Iceberg tables that are managed directly by a filesystem, AWS Glue, or Hive metastore. This behavior is controlled by the IcebergCatalog parameter in the EXPORT TO PARQUET command.

MCP Server enhancements

Query profiling

Analyze SQL query performance using LLM-powered analysis of execution plans and runtime metrics. Capture and store query profiles, visualize plan trees, and export profile data for troubleshooting and optimization. For more information, see Query profiling.

VCluster database operations and health watchdog

All tools available in the VCluster server are also available through the MCP server. Perform VCluster database operations through the MCP server, including cluster management and health monitoring. The health watchdog continuously tracks cluster performance, node availability, and system health, providing real-time insights for proactive monitoring and alerting. For more information, see Database management with VCluster UI.

VCluster UI query profile page

Import and analyze query profile data directly from the VCluster UI. Specify a target schema and optional Key ID to organize profiles, then use integrated profiling tools to investigate performance, identify bottlenecks, and optimize queries. For more information, see Query Profile.

Read-only VCluster server in Kubernetes

The VerticaDB Operator now supports deploying a dedicated, read-only VCluster Server alongside your Kubernetes-managed database using the new VClusterServer custom resource definition (CRD). The VCluster Server runs the vcluster_server service with all write operations disabled, preventing conflicts with the operator's lifecycle management. The operator automatically provisions the required Kubernetes objects—ServiceAccount, Role, RoleBinding, Deployment, and Service. Access requires httpsNMATLS to be configured on the VDB; clientServerTLS and interNodeTLS are optional. For more information, see VClusterServer custom resource definition.

NUMA multi-node cluster management with VCluster CLI

VCluster CLI now supports managing NUMA (Non-Uniform Memory Access) multi-node clusters, where multiple database nodes run on the same physical host on different client ports. New options for add_node and remove_node let you specify per-node client ports and control NUMA node assignment for each host. This works both on real NUMA hardware and in standard environments running multiple nodes on a single host. For more information, see NUMA multi-node clusters.

Unified console

Unified console is a database and data management platform that enables Vertica users to interact with and manage databases through a single interface. Vertica AI Assist is an AI assistant powered by Model Context Protocol (MCP) that enables database administrators to generate, execute, and optimize SQL queries.

Enhanced security: ECC support for SSL certificates

OpenText™ Analytics Database now supports Elliptic Curve Cryptography (ECC) for SSL certificates, offering a more modern and robust alternative to the traditional RSA algorithm. This enhancement significantly strengthens the database's SSL/TLS security posture, aligning with contemporary security best practices and providing a more secure communication environment.

Performance improvement for snapshot loading

This release addresses a performance bottleneck observed during the load_snapshot() operation, which could sometimes take up to 4 hours on certain nodes.

Key Improvements:

  • Optimized Storage Container Checks: Reduced redundant checks for storage locations within Storage Containers (SCs).
  • Streamlined CRC Verification: Introduced optimizations to skip unnecessary CRC checks for existing storage bundles.

These enhancements significantly improve the efficiency and reduce the duration of the load_snapshot() process, leading to faster system recovery and improved overall performance.

Improved CRC checker for communal location checks

The run_index_tool('CheckCRC', true, ''); call has been enhanced to more thoroughly inspect communal locations. Previously, the tool would skip unreadable files, potentially masking data corruption. With this improvement, the tool now accurately identifies and reports these unreadable files, along with their associated tables and projections. This allows customers to proactively detect corrupted data, facilitating recovery efforts and strengthening the database's data integrity validation mechanisms.

content/new-features/26.2/index.md