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DBMS > Apache IoTDB vs. Apache Phoenix vs. HugeGraph vs. Oracle Coherence vs. Sadas Engine

System Properties Comparison Apache IoTDB vs. Apache Phoenix vs. HugeGraph vs. Oracle Coherence vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSadas Engine  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 scale-out RDBMS with evolutionary schema built on Apache HBaseA fast-speed and highly-scalable Graph DBMSOracles in-memory data grid solutionSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelTime Series DBMSRelational DBMSGraph DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteiotdb.apache.orgphoenix.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­java/­coherencewww.sadasengine.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlphoenix.apache.orghugegraph.apache.org/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationApache Software FoundationBaiduOracleSADAS s.r.l.
Initial release20182014201820072006
Current release1.1.0, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20190.914.1, August 20238.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Unix
Windows
Linux
macOS
Unix
All OS with a Java VMAIX
Linux
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLSQL-like query languageyesnonoyes
APIs and other access methodsJDBC
Native API
JDBCJava API
RESTful HTTP API
TinkerPop Gremlin
JCache
JPA
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
.Net
C++
Java
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsasynchronous Gremlin script jobsnono
Triggersyesnonoyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardinghorizontal partitioning
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 infodepending on used storage backend, e.g. Cassandra and HBaseyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparkHadoop integrationvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers, roles and permissionsauthentification to access the cache via certificates or http basic authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache IoTDBApache PhoenixHugeGraphOracle CoherenceSadas Engine
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