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DBMS > GigaSpaces vs. RethinkDB vs. Snowflake vs. Tkrzw

System Properties Comparison GigaSpaces vs. RethinkDB vs. Snowflake vs. Tkrzw

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonRethinkDB  Xexclude from comparisonSnowflake  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDBMS for the Web with a mechanism to push updated query results to applications in realtime.Cloud-based data warehousing service for structured and semi-structured dataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.gigaspaces.comrethinkdb.comwww.snowflake.comdbmx.net/­tkrzw
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlrethinkdb.com/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperGigaspaces TechnologiesThe Linux Foundation infosince July 2017Snowflake Computing Inc.Mikio Hirabayashi
Initial release2000200920142020
Current release15.5, September 20202.4.1, August 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++C++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Windows
hostedLinux
macOS
Data schemeschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyesno
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.no infoXML can be used for describing objects metadatanoyesno
Secondary indexesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyesno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
CLI Client
JDBC
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyes, event driven architectureClient-side triggers through changefeedsno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basedyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infousing specific database classes
User concepts infoAccess controlRole-based access controlyes infousers and table-level permissionsUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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