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DBMS > EXASOL vs. GreptimeDB vs. Postgres-XL vs. Weaviate

System Properties Comparison EXASOL vs. GreptimeDB vs. Postgres-XL vs. Weaviate

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGreptimeDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.An open source Time Series DBMS built for increased scalability, high performance and efficiencyBased 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 DBMSTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitewww.exasol.comgreptime.comwww.postgres-xl.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.exasol.com/­resourcesdocs.greptime.comwww.postgres-xl.org/­documentationweaviate.io/­developers/­weaviate
DeveloperExasolGreptime Inc.Weaviate B.V.
Initial release200020222014 infosince 2012, originally named StormDB2019
Current release10 R1, October 20181.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCGo
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Data schemeyesschema-free, schema definition possibleyesyes, 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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyesyes infodistributed, parallel query executionGraphQL is used as query language
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC
HTTP API
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
C++
Erlang
Go
Java
JavaScript
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsPythonuser defined functionsno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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, groups and roles according to SQL-standardSimple rights management via user accountsfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EXASOLGreptimeDBPostgres-XLWeaviate
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
As a database supporting the development of generative AI and semantic search applications...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
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All companies that have data. ​
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
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As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
EXASOLGreptimeDBPostgres-XLWeaviate
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