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DBMS > Datomic vs. GridGain vs. Microsoft SQL Server vs. QuestDB vs. XTDB

System Properties Comparison Datomic vs. GridGain vs. Microsoft SQL Server vs. QuestDB vs. XTDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQuestDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGridGain is an in-memory computing platform, built on Apache IgniteMicrosofts flagship relational DBMSA high performance open source SQL database for time series dataA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.datomic.comwww.gridgain.comwww.microsoft.com/­en-us/­sql-serverquestdb.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.datomic.comwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-serverquestdb.io/­docswww.xtdb.com/­docs
DeveloperCognitectGridGain Systems, Inc.MicrosoftQuestDB Technology IncJuxt Ltd.
Initial release20122007198920142019
Current release1.0.6735, June 2023GridGain 8.5.1SQL Server 2022, November 20221.19, September 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial inforestricted free version is availableOpen Source infoApache 2.0Open 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 languageJava, ClojureJava, C++, .NetC++Java (Zero-GC), C++, RustClojure
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Windows
Linux
macOS
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, 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.noyesyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesSQL with time-series extensionslimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP REST
JDBC
Supported programming languagesClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Clojure
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
TriggersBy using transaction functionsyes (cache interceptors and events)yesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes (replicated cache)yes, but depending on the SQL-Server EditionSource-replica replication with eventual consistencyyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes, 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 inforecommended only for testing and developmentyesyesyes infothrough memory mapped files
User concepts infoAccess controlnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard
More information provided by the system vendor
DatomicGridGainMicrosoft SQL ServerQuestDBXTDB infoformerly named Crux
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
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