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DBMS > Geode vs. Postgres-XL vs. TigerGraph vs. Vitess

System Properties Comparison Geode vs. Postgres-XL vs. TigerGraph vs. Vitess

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTigerGraph  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitegeode.apache.orgwww.postgres-xl.orgwww.tigergraph.comvitess.io
Technical documentationgeode.apache.org/­docswww.postgres-xl.org/­documentationdocs.tigergraph.comvitess.io/­docs
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.The Linux Foundation, PlanetScale
Initial release20022014 infosince 2012, originally named StormDB20172013
Current release1.1, February 201710 R1, October 201815.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMozilla public licensecommercialOpen Source infoApache Version 2.0, commercial licenses available
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 languageJavaCC++Go
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
LinuxDocker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLSQL-like query language (OQL)yes infodistributed, parallel query executionSQL-like query language (GSQL)yes infowith proprietary extensions
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyesyes infoproprietary syntax
Triggersyes infoCache Event Listenersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACID infoMVCCACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesnonoyes
User concepts infoAccess controlAccess rights per client and object definablefine grained access rights according to SQL-standardRole-based access controlUsers with fine-grained authorization concept infono user groups or roles

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More resources
GeodePostgres-XLTigerGraphVitess
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