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DBMS > Apache IoTDB vs. GridDB vs. H2 vs. Manticore Search vs. Oracle Coherence

System Properties Comparison Apache IoTDB vs. GridDB vs. H2 vs. Manticore Search vs. Oracle Coherence

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGridDB  Xexclude from comparisonH2  Xexclude from comparisonManticore Search  Xexclude from comparisonOracle Coherence  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 FlinkScalable in-memory time series database optimized for IoT and Big DataFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Multi-storage database for search, including full-text search.Oracles in-memory data grid solution
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSSearch engineKey-value store
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score1.97
Rank#129  Overall
#22  Key-value stores
Websiteiotdb.apache.orggriddb.netwww.h2database.commanticoresearch.comwww.oracle.com/­java/­coherence
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.griddb.netwww.h2database.com/­html/­main.htmlmanual.manticoresearch.comdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationToshiba CorporationThomas MuellerManticore SoftwareOracle
Initial release20182013200520172007
Current release1.1.0, April 20235.1, August 20222.2.220, July 20236.0, February 202314.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++Java
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxAll OS with a Java VMFreeBSD
Linux
macOS
Windows
All OS with a Java VM
Data schemeyesyesyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nononoCan index from XMLno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languageSQL92, SQL-like TQL (Toshiba Query Language)yesSQL-like query languageno
APIs and other access methodsJDBC
Native API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JCache
JPA
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Java
Server-side scripts infoStored proceduresyesnoJava Stored Procedures and User-Defined Functionsuser defined functionsno
Triggersyesyesyesnoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
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 replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseSynchronous replication based on Galera libraryyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparkConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDyes infoisolated transactions for atomic changes and binary logging for safe writesconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlyesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardnoauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
Apache IoTDBGridDBH2Manticore SearchOracle Coherence
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Apache IoTDBGridDBH2Manticore SearchOracle Coherence
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