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DBMS > Datomic vs. DolphinDB vs. Linter vs. YugabyteDB

System Properties Comparison Datomic vs. DolphinDB vs. Linter vs. YugabyteDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDolphinDB  Xexclude from comparisonLinter  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.RDBMS for high security requirementsHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.datomic.comwww.dolphindb.comlinter.ruwww.yugabyte.com
Technical documentationdocs.datomic.comdocs.dolphindb.cn/­en/­help200/­index.htmldocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperCognitectDolphinDB, Increlex.ruYugabyte Inc.
Initial release2012201819902017
Current release1.0.6735, June 2023v2.00.4, January 20222.19, September 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree community version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJava, ClojureC++C and C++C and C++
Server operating systemsAll OS with a Java VMLinux
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Data schemeyesyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesClojure
Java
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes infoproprietary syntax with the possibility to convert from PL/SQLyes infosql, plpgsql, C
TriggersBy using transaction functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesSource-replica replicationBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infobased on RocksDB
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 developmentyesno
User concepts infoAccess controlnoAdministrators, Users, Groupsfine grained access rights according to SQL-standardyes
More information provided by the system vendor
DatomicDolphinDBLinterYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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DatomicDolphinDBLinterYugabyteDB
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