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DBMS > Apache IoTDB vs. Infobright vs. Splice Machine vs. TypeDB

System Properties Comparison Apache IoTDB vs. Infobright vs. Splice Machine vs. TypeDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonInfobright  Xexclude from comparisonSplice Machine  Xexclude from comparisonTypeDB infoformerly named Grakn  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 FlinkHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websiteiotdb.apache.orgignitetech.com/­softwarelibrary/­infobrightdbsplicemachine.comtypedb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlsplicemachine.com/­how-it-workstypedb.com/­docs
DeveloperApache Software FoundationIgnite Technologies Inc.; formerly InfoBright Inc.Splice MachineVaticle
Initial release2018200520142016
Current release1.1.0, April 20233.1, March 20212.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
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.nonono
Secondary indexesyesno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLSQL-like query languageyesyesno
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesnoyes infoJavano
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShared Nothhing Auto-Sharding, Columnar PartitioningSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparknoYes, via Full Spark Integrationyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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 controlyesfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users, groups and roles according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Apache IoTDBInfobrightSplice MachineTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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Apache IoTDBInfobrightSplice MachineTypeDB infoformerly named Grakn
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