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DBMS > EventStoreDB vs. EXASOL vs. Manticore Search vs. Microsoft Azure Table Storage vs. RDF4J

System Properties Comparison EventStoreDB vs. EXASOL vs. Manticore Search vs. Microsoft Azure Table Storage vs. RDF4J

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonEXASOL  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Multi-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelEvent StoreRelational DBMSSearch engineWide column storeRDF store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.29
Rank#174  Overall
#1  Event Stores
Score2.47
Rank#119  Overall
#57  Relational DBMS
Score0.26
Rank#312  Overall
#21  Search engines
Score5.35
Rank#71  Overall
#6  Wide column stores
Score0.72
Rank#234  Overall
#9  RDF stores
Websitewww.eventstore.comwww.exasol.commanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationdevelopers.eventstore.comwww.exasol.com/­resourcesmanual.manticoresearch.comrdf4j.org/­documentation
DeveloperEvent Store LimitedExasolManticore SoftwareMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122000201720122004
Current release21.2, February 20216.0, February 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoGPL version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinux
Windows
FreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesFixed schemaschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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 XMLno
Secondary indexesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLyesSQL-like query languagenono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
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 infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoAccess rights based on private key authentication or shared access signaturesno

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More resources
EventStoreDBEXASOLManticore SearchMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
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