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DBMS > Spark SQL vs. TerarkDB vs. TigerGraph vs. Transbase vs. YottaDB

System Properties Comparison Spark SQL vs. TerarkDB vs. TigerGraph vs. Transbase vs. YottaDB

Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonTransbase  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionSpark 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 resource-optimized, high-performance, universally applicable RDBMSA fast and solid embedded Key-value store
Primary database modelRelational DBMSKey-value storeGraph DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitespark.apache.org/­sqlgithub.com/­bytedance/­terarkdbwww.tigergraph.comwww.transaction.de/­en/­products/­transbase.htmlyottadb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.tigergraph.comwww.transaction.de/­en/­products/­transbase/­features.htmlyottadb.com/­resources/­documentation
DeveloperApache Software FoundationByteDance, originally TerarkTransaction Software GmbHYottaDB, LLC
Initial release20142016201719872001
Current release3.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted open source version availablecommercialcommercial infofree development licenseOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C++C and C++C
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Docker
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 indexesnonoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (GSQL)yesby using the Octo plugin
APIs and other access methodsJDBC
ODBC
C++ API
Java API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary native API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJava
Python
R
Scala
C++
Java
C++
Java
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnonoyesyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes
User concepts infoAccess controlnonoRole-based access controlfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
Spark SQLTerarkDBTigerGraphTransbaseYottaDB
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