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DBMS > FatDB vs. TigerGraph vs. XTDB vs. Yaacomo

System Properties Comparison FatDB vs. TigerGraph vs. XTDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA general purpose database with bitemporal SQL and Datalog and graph queriesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Graph DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.tigergraph.comgithub.com/­xtdb/­xtdb
www.xtdb.com
yaacomo.com
Technical documentationdocs.tigergraph.comwww.xtdb.com/­docs
DeveloperFatCloudJuxt Ltd.Q2WEB GmbH
Initial release2012201720192009
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++Clojure
Server operating systemsWindowsLinuxAll OS with a Java 8 (and higher) VM
Linux
Android
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes, extensible-data-notation formatyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query language (GSQL)limited SQL, making use of Apache Calciteyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP REST
JDBC
JDBC
ODBC
Supported programming languagesC#C++
Java
Clojure
Java
Server-side scripts infoStored proceduresyes infovia applicationsyesno
Triggersyes infovia applicationsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, each node contains all dataSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsRole-based access controlfine grained access rights according to SQL-standard

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More resources
FatDBTigerGraphXTDB infoformerly named CruxYaacomo
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30 April 2024, Datanami

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provided by Google News



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