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DBMS > Apache Phoenix vs. MarkLogic vs. Postgres-XL vs. Vertica vs. Weaviate

System Properties Comparison Apache Phoenix vs. MarkLogic vs. Postgres-XL vs. Vertica vs. Weaviate

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMarkLogic  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseOperational and transactional Enterprise NoSQL databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS infoColumn orientedVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitephoenix.apache.orgwww.marklogic.comwww.postgres-xl.orgwww.vertica.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationphoenix.apache.orgdocs.marklogic.comwww.postgres-xl.org/­documentationvertica.com/­documentationweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationMarkLogic Corp.OpenText infopreviously Micro Focus and Hewlett PackardWeaviate B.V.
Initial release201420012014 infosince 2012, originally named StormDB20052019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201911.0, December 202210 R1, October 201812.0.3, January 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoMozilla public licensecommercial infoLimited community edition freeOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CC++Go
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
macOS
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-free infoSchema can be enforcedyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyes infoSQL92yes infodistributed, parallel query executionFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.GraphQL is used as query language
APIs and other access methodsJDBCJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsyes infovia XQuery or JavaScriptuser defined functionsyes, PostgreSQL PL/pgSQL, with minor differencesno
Triggersnoyesyesyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioninghorizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionACID infoMVCCACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache PhoenixMarkLogicPostgres-XLVertica infoOpenText™ Vertica™Weaviate
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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As a database supporting the development of generative AI and semantic search applications...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
All companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
Apache PhoenixMarkLogicPostgres-XLVertica infoOpenText™ Vertica™Weaviate
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