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DBMS > AgensGraph vs. Apache IoTDB vs. CrateDB vs. jBASE

System Properties Comparison AgensGraph vs. Apache IoTDB vs. CrateDB vs. jBASE

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache IoTDB  Xexclude from comparisonCrateDB  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkDistributed Database based on LuceneA robust multi-value DBMS comprising development tools and middleware
Primary database modelGraph DBMS
Relational DBMS
Time Series DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Multivalue DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Websitebitnine.net/­agensgraphiotdb.apache.orgcratedb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationbitnine.net/­documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcratedb.com/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperBitnine Global Inc.Apache Software FoundationCrateRocket Software (formerly Zumasys)
Initial release2016201820131991
Current release2.1, December 20181.1.0, April 20235.8.1, August 20245.7
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Sourcecommercial
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 languageCJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAIX
Linux
Windows
Data schemedepending on used data modelyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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.nononoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyes, but no triggers and constraints, and PostgreSQL compatibilityEmbedded SQL for jBASE in BASIC
APIs and other access methodsCypher Query Language
JDBC
JDBC
Native API
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Go
Java
Python
Scala
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresyesyesuser defined functions (Javascript)yes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasConfigurable replication on table/partition-levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesrights management via user accountsAccess rights can be defined down to the item level

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More resources
AgensGraphApache IoTDBCrateDBjBASE
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