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DBMS > Apache IoTDB vs. Informix vs. jBASE vs. TigerGraph

System Properties Comparison Apache IoTDB vs. Informix vs. jBASE vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonInformix  Xexclude from comparisonjBASE  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA robust multi-value DBMS comprising development tools and middlewareA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelTime Series DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBMultivalue DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteiotdb.apache.orgwww.ibm.com/­products/­informixwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.tigergraph.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.tigergraph.com
DeveloperApache Software FoundationIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Rocket Software (formerly Zumasys)
Initial release2018198419912017
Current release1.1.0, April 202314.10.FC5, November 20205.7
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercialcommercial
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 languageJavaC, C++ and JavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
macOS
Solaris
Windows
AIX
Linux
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesoptionalyes
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.noyesno
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyesEmbedded SQL for jBASE in BASICSQL-like query language (GSQL)
APIs and other access methodsJDBC
Native API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
C++
Java
Server-side scripts infoStored proceduresyesyesyesyes
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.yesyesyesno
User concepts infoAccess controlyesUsers with fine-grained authentication, authorization, and auditing controlsAccess rights can be defined down to the item levelRole-based access control

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More resources
Apache IoTDBInformixjBASETigerGraph
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