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DBMS > Apache Pinot vs. HarperDB vs. Postgres-XL vs. Weaviate

System Properties Comparison Apache Pinot vs. HarperDB vs. Postgres-XL vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHarperDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSDocument storeRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitepinot.apache.orgwww.harperdb.iowww.postgres-xl.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.pinot.apache.orgdocs.harperdb.io/­docswww.postgres-xl.org/­documentationweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation and contributorsHarperDBWeaviate B.V.
Initial release201520172014 infosince 2012, originally named StormDB2019
Current release1.0.0, September 20233.1, August 202110 R1, October 20181.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoMozilla public licenseOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsCGo
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Linux
macOS
Data schemeyesdynamic schemayesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes 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 indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query languageSQL-like data manipulation statementsyes infodistributed, parallel query executionGraphQL is used as query language
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1user defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache PinotHarperDBPostgres-XLWeaviate
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
Apache PinotHarperDBPostgres-XLWeaviate
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