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DBMS > H2 vs. Manticore Search vs. Microsoft Azure Table Storage vs. TimescaleDB

System Properties Comparison H2 vs. Manticore Search vs. Microsoft Azure Table Storage vs. TimescaleDB

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFull-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.A Wide Column Store for rapid development using massive semi-structured datasetsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSSearch engineWide column storeTime Series DBMS
Secondary database modelsSpatial DBMSTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score3.55
Rank#80  Overall
#6  Wide column stores
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitewww.h2database.commanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.timescale.com
Technical documentationwww.h2database.com/­html/­main.htmlmanual.manticoresearch.comdocs.timescale.com
DeveloperThomas MuellerManticore SoftwareMicrosoftTimescale
Initial release2005201720122017
Current release2.2.220, July 20236.0, February 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Windows
Data schemeyesFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noCan index from XMLnoyes
Secondary indexesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLyesSQL-like query languagenoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsuser defined functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud serviceyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSynchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
H2Manticore SearchMicrosoft Azure Table StorageTimescaleDB
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