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DBMS > EXASOL vs. Manticore Search vs. Microsoft Azure Cosmos DB vs. RDF4J

System Properties Comparison EXASOL vs. Manticore Search vs. Microsoft Azure Cosmos DB vs. RDF4J

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Open source search engine for searching in data from different sources. Forked of and compatible with Sphinx.Globally distributed, horizontally scalable, multi-model database serviceRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.27
Rank#79  Overall
#44  Relational DBMS
Score0.04
Rank#333  Overall
#17  Search engines
Score36.87
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.64
Rank#216  Overall
#9  RDF stores
Websitewww.exasol.commanticoresearch.comazure.microsoft.com/­services/­cosmos-dbrdf4j.org
Technical documentationwww.exasol.com/­resourcesdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
docs.microsoft.com/­azure/­cosmos-dbrdf4j.org/­documentation
DeveloperExasolManticore SoftwareMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2000201720142004
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnoyes infoJSON typesyes
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.no
Secondary indexesyesyes infofull-text index on all search fieldsyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like query languageno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Proprietary protocolDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoJavaScriptyes
TriggersyesnoJavaScriptyes
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 nodesnoneyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoMulti-item ACID transactions with snapshot isolation within a partitionACID 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.yes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoAccess rights can be defined down to the item levelno

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More resources
EXASOLManticore SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRDF4J infoformerly known as Sesame
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