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DBMS > AgensGraph vs. EsgynDB vs. GeoSpock vs. Microsoft Azure Cosmos DB vs. Splice Machine

System Properties Comparison AgensGraph vs. EsgynDB vs. GeoSpock vs. Microsoft Azure Cosmos DB vs. Splice Machine

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial and temporal data processing engine for extreme data scaleGlobally distributed, horizontally scalable, multi-model database serviceOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitebitnine.net/­agensgraphwww.esgyn.cngeospock.comazure.microsoft.com/­services/­cosmos-dbsplicemachine.com
Technical documentationbitnine.net/­documentationlearn.microsoft.com/­azure/­cosmos-dbsplicemachine.com/­how-it-works
DeveloperBitnine Global Inc.EsgynGeoSpockMicrosoftSplice Machine
Initial release2016201520142014
Current release2.1, December 20182.0, September 20193.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaJava, JavascriptJava
Server operating systemsLinux
OS X
Windows
LinuxhostedhostedLinux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON typesyes
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.nonono
Secondary indexesyesyestemporal, categoricalyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLyesyesANSI SQL for query only (using Presto)SQL-like query languageyes
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
ODBC
JDBCDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesJava Stored ProceduresnoJavaScriptyes infoJava
TriggersnononoJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingAutomatic shardingSharding infoImplicit feature of the cloud serviceShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*Yes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users can be defined per tableAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standard

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More resources
AgensGraphEsgynDBGeoSpockMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSplice Machine
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