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DBMS > Apache IoTDB vs. Datomic vs. FileMaker vs. Graph Engine vs. HBase

System Properties Comparison Apache IoTDB vs. Datomic vs. FileMaker vs. Graph Engine vs. HBase

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatomic  Xexclude from comparisonFileMaker  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHBase  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 FlinkDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFileMaker is a cross-platform RDBMS that includes a GUI frontend.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websiteiotdb.apache.orgwww.datomic.comwww.claris.com/­filemakerwww.graphengine.iohbase.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.datomic.comwww.claris.com/­resources/­documentationwww.graphengine.io/­docs/­manualhbase.apache.org/­book.html
DeveloperApache Software FoundationCognitectClaris infoa subsidiary of AppleMicrosoftApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20182012198320102008
Current release1.1.0, April 20231.0.6735, June 202319.4.1, November 20212.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freecommercialOpen Source infoMIT LicenseOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Clojure.NET and CJava
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
.NETLinux
Unix
Windows infousing Cygwin
Data schemeyesyesyesyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesyesoptions to bring your own types, AVRO
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.nonoyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languagenoyes infovia pluginsnono
APIs and other access methodsJDBC
Native API
RESTful HTTP APIFilemaker WebDirect
JDBC
ODBC
RESTful HTTP APIJava API
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Clojure
Java
PHPC#
C++
F#
Visual Basic
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsyesyesyes infoCoprocessors in Java
TriggersyesBy using transaction functionsyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)none infoBut extensive use of caching in the application peersnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnone infoBut extensive use of caching in the application peersSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
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 ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlyesnosimple rights management via user accounts and connection to external directory servicesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Apache IoTDBDatomicFileMakerGraph Engine infoformer name: TrinityHBase
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