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DBMS > Bangdb vs. Spark SQL vs. TerarkDB vs. TigerGraph vs. XTDB

System Properties Comparison Bangdb vs. Spark SQL vs. TerarkDB vs. TigerGraph vs. XTDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphSpark SQL is a component on top of 'Spark Core' for structured data processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeGraph DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitebangdb.comspark.apache.org/­sqlgithub.com/­bytedance/­terarkdbwww.tigergraph.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.bangdb.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.tigergraph.comwww.xtdb.com/­docs
DeveloperSachin Sinha, BangDBApache Software FoundationByteDance, originally TerarkJuxt Ltd.
Initial release20122014201620172019
Current releaseBangDB 2.0, October 20213.5.0 ( 2.13), September 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercial inforestricted open source version availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ScalaC++C++Clojure
Server operating systemsLinuxLinux
OS X
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoyesyes, extensible-data-notation format
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.nonononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnonoyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statementsnoSQL-like query language (GSQL)limited SQL, making use of Apache Calcite
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
C++ API
Java API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Java
Python
Java
Python
R
Scala
C++
Java
C++
Java
Clojure
Java
Server-side scripts infoStored proceduresnononoyesno
Triggersyes, Notifications (with Streaming only)nononono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)nonenoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordingly
Foreign keys infoReferential integritynononoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyesno
User concepts infoAccess controlyes (enterprise version only)nonoRole-based access control

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More resources
BangdbSpark SQLTerarkDBTigerGraphXTDB infoformerly named Crux
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