This is the multi-page printable view of this section. Click here to print.

Return to the regular view of this page.

New features

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

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

2 - Deprecated and removed functionality

Vertica retires functionality in two phases:.

Vertica 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 Vertica.

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

3 - New and changed in version 26.3

New features and changes in version 26.3

SQL editor enhancements

The SQL editor is now enhanced with these features:

  • Simplified database object management - Easily create and manage database objects, including schemas, tables, views, stored procedures, and flex tables through an intuitive interface.
  • Real-time SQL preview - Instantly view the generated SQL at every step with greater transparency and control before applying changes.
  • Enhanced object explorer - Quickly browse and navigate all database objects from a centralized object explorer.
  • Detailed object insights - Select any database object to view its properties, configuration details, and relevant metadata in a dedicated information panel.
  • Improved SQL editor experience - Execute multiple SQL queries in a single session for quicker and efficient query workflows.
  • Advanced query analysis tools - Analyze query behavior with integrated support for viewing execution plans and explain plans, helping users optimize performance and troubleshoot queries effectively.

Additional supported platforms

Unified Console now supports all platforms supported by Management Console (MC), including x86 and ARM64 architectures, giving you greater flexibility to deploy and manage Vertica across a wider range of hardware environments.

Query optimization enhancements

Enhanced query optimization capabilities in Vertica AI Assist empower users with:

  • LLM-powered explanations: Summarize query optimizations and provides clear, actionable insights for troubleshooting and performance tuning.
  • Metadata-aware optimization: Leverage comprehensive Vertica metadata, including table statistics, projections, and resource usage, to deliver more accurate and context-aware optimization rationale.
  • Visual explain plan graphs: Render optimized explain plans in a graphical interface, allowing intuitive analysis of query execution paths, operators, and costs.
  • Profile summary: Provide a high-level overview of query execution, including duration, status, and resource usage.
  • Query profile export: Generate profile export details and a download link for the profile tarball (.tar.gz).

Vertica Spark Connector 4.1.1 with Java 21 support

You can now use Vertica Spark Connector 4.1.1 in Java 21 environments. This update includes a fix for cross-database JDBC cache reuse, improving the reliability of Data Source V2 (DSv2) read and write operations.

Vertica Grafana Connector supports Grafana 13

You can query, explore, and visualize data with full support for Grafana 13 dashboards. This provides compatibility with Grafana 13 and includes the updates required to align with Grafana's React 19 frontend framework and plugin architecture.

Management Console supports multi-factor authentication (MFA)

Administrators can configure MFA for local authentication, federated server authentication, and identity provider (IDP) authentication workflows through Management Console's integration with Keycloak. Supported IDP protocols include SAML v2.0, OpenID Connect v1.0, and Keycloak OpenID Connect.

Object-level in-database restore points

You can now save object-level in-database restore points by specifying object inclusion rules when you create an archive or save a restore point. Object-level restore points include only the specified objects and their dependent objects, and you can restore all or a subset of those objects from the archive. For more information, see Save restore points and RESTORE FROM ARCHIVE.

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.

Standalone MCP server RPM

Starting in version 26.3, the Vertica MCP server is distributed as a standalone RPM with its own release cadence, and must be installed on a dedicated host outside the Vertica cluster. Going forward, each MCP server release supports the most recently released version of the Vertica database. Note that MCP server release 26.3 specifically requires Vertica version 26.2.0-1, as this patch has been updated with standalone MCP server support.

For installation instructions, see Installing the MCP server RPM.

TLS v1.3 support

Vertica now supports TLS v1.3 in addition to TLS v1.2. The following changes provide support for both protocol versions:

  • CREATE TLS CONFIGURATION and ALTER TLS CONFIGURATION now include a separate CIPHERLIST parameter for specifying TLS v1.2 cipher suites. The previously existing CIPHER SUITES parameter is now used for TLS v1.3 cipher suites exclusively.

  • The TLS_CONFIGURATIONS system table includes a new CIPHER_LIST column for TLS v1.2 cipher suites.

  • A new TLSCipherSuites Security parameters specifies TLS v1.3 cipher suites for client-server communication. The existing EnabledCipherSuites parameter continues to apply to TLS v1.2.

Run end-to-end ML workflows with the MCP server

The Vertica MCP server now provides machine learning (ML) tools for running end-to-end, in-database ML workflows through natural-language interaction with AI agents. Using conversational prompts, you can prepare data, split, train and test sets, train and evaluate models, generate predictions, and manage models across their lifecycle.

The tools are organized into categories such as data preparation and feature engineering, exploratory data analysis, model training, prediction, model evaluation, and model registry and governance. For an overview and example workflows, see Machine learning with the MCP server. For a complete reference of every tool, see ML tools reference.

TLS fallthrough annotation for VerticaDB operator deployments

The VerticaDB operator supports a new vertica.com/enable-fallthrough annotation that controls whether operator-generated TLS authentications allow fallthrough. When set to true, a failed TLS connection can fall through to password authentication. This release also adds detailed guidance for enabling TLS across the database lifecycle on Kubernetes when creating, reviving, or updating a database, as well as during operator and server upgrades. For more information, see Custom resource definition parameters and Enable TLS in Vertica on Kubernetes.

Expose additional ports on subcluster services

The VerticaDB custom resource now supports a subclusters[i].extraPorts parameter that lets you expose additional ports on a subcluster service. Each entry accepts a port name, port, optional targetPort, and nodePort (for NodePort services), so you can route traffic for services such as metrics or administration endpoints alongside the standard database ports. For more information, see Custom resource definition parameters.

Export additional log streams with the sidecar logger

The vertica-logger sidecar image now supports exporting logs from different database components. Beginning with vertica-logger version 2.1.0, you can set the LOG_FILE_TYPE environment variable to export a specific log stream. Set it to VERTICA (default) for vertica.log, SPREAD for spread.log, or UDXLOGS for UDxFencedProcesses.log. Each sidecar exports a single log stream, so add a separate sidecar for each component you want to export. For more information, see VerticaDB custom resource definition.

ARM64 architecture support for containerized images

Vertica container images now support the arm64 architecture in addition to amd64. Any image with multiarch in its tag runs on both amd64 and arm64 hosts. For an example, see the opentext/vertica-logger tags. For more information, see Vertica images.