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DBMS > Apache IoTDB vs. Graph Engine vs. Hazelcast vs. HBase vs. Microsoft Azure SQL Database

System Properties Comparison Apache IoTDB vs. Graph Engine vs. Hazelcast vs. HBase vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHazelcast  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely adopted in-memory data gridWide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelTime Series DBMSGraph DBMS
Key-value store
Key-value storeWide column storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websiteiotdb.apache.orgwww.graphengine.iohazelcast.comhbase.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.graphengine.io/­docs/­manualhazelcast.org/­imdg/­docshbase.apache.org/­book.htmldocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software FoundationMicrosoftHazelcastApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoft
Initial release20182010200820082010
Current release1.1.0, April 20235.3.6, November 20232.3.4, January 2021V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava.NET and CJavaJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8).NETAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
hosted
Data schemeyesyesschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVROyes
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 infothe object must implement a serialization strategynoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languagenoyes
APIs and other access methodsJDBC
Native API
RESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
F#
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesyes infoEvent Listeners, Executor Servicesyes infoCoprocessors in JavaTransact SQL
Triggersyesnoyes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infoReplicated MapMulti-source replication
Source-replica replication
yes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoone or two-phase-commit; repeatable reads; read commitedSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlyesRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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Apache IoTDBGraph Engine infoformer name: TrinityHazelcastHBaseMicrosoft Azure SQL Database infoformerly SQL Azure
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