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DBMS > Datomic vs. EsgynDB vs. Microsoft SQL Server vs. QuestDB vs. RocksDB

System Properties Comparison Datomic vs. EsgynDB vs. Microsoft SQL Server vs. QuestDB vs. RocksDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQuestDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMicrosofts flagship relational DBMSA high performance open source SQL database for time series dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitewww.datomic.comwww.esgyn.cnwww.microsoft.com/­en-us/­sql-serverquestdb.iorocksdb.org
Technical documentationdocs.datomic.comlearn.microsoft.com/­en-US/­sql/­sql-serverquestdb.io/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectEsgynMicrosoftQuestDB Technology IncFacebook, Inc.
Initial release20122015198920142013
Current release1.0.6735, June 2023SQL Server 2022, November 20228.11.4, April 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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, ClojureC++, JavaC++Java (Zero-GC), C++, RustC++
Server operating systemsAll OS with a Java VMLinuxLinux
Windows
Linux
macOS
Windows
Linux
Data schemeyesyesyesyes infoschema-free via InfluxDB Line Protocolschema-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.nonoyesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoyesyesSQL with time-series extensionsno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
C++ API
Java API
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC/ADO.NetC#
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
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored ProceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
TriggersBy using transaction functionsnoyesno
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)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersyes, but depending on the SQL-Server EditionSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID for single-table writesyes
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
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 developmentnoyesyes infothrough memory mapped filesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatomicEsgynDBMicrosoft SQL ServerQuestDBRocksDB
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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