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DBMS > Heroic vs. TigerGraph vs. XTDB vs. Yaacomo

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

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonTigerGraph  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA 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 modelTime Series DBMSGraph DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitegithub.com/­spotify/­heroicwww.tigergraph.comgithub.com/­xtdb/­xtdb
www.xtdb.com
yaacomo.com
Technical documentationspotify.github.io/­heroicdocs.tigergraph.comwww.xtdb.com/­docs
DeveloperSpotifyJuxt Ltd.Q2WEB GmbH
Initial release2014201720192009
Current release1.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen 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 languageJavaC++Clojure
Server operating systemsLinuxAll 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.nononono
Secondary indexesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoSQL-like query language (GSQL)limited SQL, making use of Apache Calciteyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP REST
JDBC
JDBC
ODBC
Supported programming languagesC++
Java
Clojure
Java
Server-side scripts infoStored proceduresnoyesno
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, each node contains all dataSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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.nonoyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standard

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More resources
HeroicTigerGraphXTDB infoformerly named CruxYaacomo
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TigerGraph Unveils CoPilot, Version 4.0, and New CEO
30 April 2024, Datanami

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30 April 2024, TechTarget

How TigerGraph CoPilot enables graph-augmented AI
30 April 2024, InfoWorld

New TigerGraph CEO Refocuses Efforts on Enterprise Customers
31 July 2023, Datanami

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provided by Google News



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