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DBMS > Apache IoTDB vs. Google Cloud Bigtable vs. H2 vs. Manticore Search vs. Oracle Coherence

System Properties Comparison Apache IoTDB vs. Google Cloud Bigtable vs. H2 vs. Manticore Search vs. Oracle Coherence

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGoogle Cloud Bigtable  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 FlinkGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Full-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 DBMSKey-value store
Wide column store
Relational DBMSSearch engineKey-value store
Secondary database modelsSpatial 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
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
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.orgcloud.google.com/­bigtablewww.h2database.commanticoresearch.comwww.oracle.com/­java/­coherence
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcloud.google.com/­bigtable/­docswww.h2database.com/­html/­main.htmlmanual.manticoresearch.comdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationGoogleThomas MuellerManticore SoftwareOracle
Initial release20182015200520172007
Current release1.1.0, April 20232.2.220, July 20236.0, February 202314.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAll OS with a Java VMFreeBSD
Linux
macOS
Windows
All OS with a Java VM
Data schemeyesschema-freeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesnoyesInt, 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 indexesyesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query languageno
APIs and other access methodsJDBC
Native API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
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)
Python
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
Triggersyesnoyesnoyes 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 replicasInternal replication in Colossus, and regional replication between two clusters in different zonesWith 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 Sparkyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACIDyes 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.yesnoyesyes
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardnoauthentification to access the cache via certificates or http basic authentication

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More resources
Apache IoTDBGoogle Cloud BigtableH2Manticore SearchOracle Coherence
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