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DBMS > FeatureBase vs. Postgres-XL vs. Splice Machine vs. Weaviate

System Properties Comparison FeatureBase vs. Postgres-XL vs. Splice Machine vs. Weaviate

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSplice Machine  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitewww.featurebase.comwww.postgres-xl.orgsplicemachine.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.featurebase.comwww.postgres-xl.org/­documentationsplicemachine.com/­how-it-worksweaviate.io/­developers/­weaviate
DeveloperMolecula and Pilosa Open Source ContributorsSplice MachineWeaviate B.V.
Initial release20172014 infosince 2012, originally named StormDB20142019
Current release2022, May 202210 R1, October 20183.1, March 20211.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoAGPL 3.0, commercial license availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCJavaGo
Server operating systemsLinux
macOS
Linux
macOS
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL queriesyes infodistributed, parallel query executionyesGraphQL is used as query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoJavano
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoMVCCACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
FeatureBasePostgres-XLSplice MachineWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
FeatureBasePostgres-XLSplice MachineWeaviate
DB-Engines blog posts

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