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DBMS > BigObject vs. Geode vs. Kinetica vs. Microsoft Azure Synapse Analytics vs. TerarkDB

System Properties Comparison BigObject vs. Geode vs. Kinetica vs. Microsoft Azure Synapse Analytics vs. TerarkDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGeode  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFully vectorized database across both GPUs and CPUsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitebigobject.iogeode.apache.orgwww.kinetica.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­bytedance/­terarkdb
Technical documentationdocs.bigobject.iogeode.apache.org/­docsdocs.kinetica.comdocs.microsoft.com/­azure/­synapse-analyticsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperBigObject, Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaMicrosoftByteDance, originally Terark
Initial release20152002201220162016
Current release1.1, February 20177.1, August 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C++C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxhosted
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (OQL)SQL-like DML and DDL statementsyesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
C++ API
Java API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
C#
Java
PHP
C++
Java
Server-side scripts infoStored proceduresLuauser defined functionsuser defined functionsTransact SQLno
Triggersnoyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodenoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
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.yesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoAccess rights per client and object definableAccess rights for users and roles on table levelyesno

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More resources
BigObjectGeodeKineticaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTerarkDB
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