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DBMS > GigaSpaces vs. Microsoft SQL Server vs. RocksDB vs. TDengine

System Properties Comparison GigaSpaces vs. Microsoft SQL Server vs. RocksDB vs. TDengine

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRocksDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMicrosofts flagship relational DBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Time Series DBMS and big data platform
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.gigaspaces.comwww.microsoft.com/­en-us/­sql-serverrocksdb.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-US/­sql/­sql-servergithub.com/­facebook/­rocksdb/­wikidocs.tdengine.com
DeveloperGigaspaces TechnologiesMicrosoftFacebook, Inc.TDEngine, previously Taos Data
Initial release2000198920132019
Current release15.5, September 2020SQL Server 2022, November 20229.2.1, May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial inforestricted free version is availableOpen Source infoBSDOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJava, C++, .NetC++C++C
Server operating systemsLinux
macOS
Solaris
Windows
Linux
Windows
LinuxLinux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 metadatayesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-99 for query and DML statementsyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
C++ API
Java API
JDBC
RESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersyes, event driven architectureyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes, but depending on the SQL-Server Editionyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
GigaSpacesMicrosoft SQL ServerRocksDBTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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