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DBMS > Datomic vs. RocksDB vs. TypeDB vs. UniData,UniVerse vs. YDB

System Properties Comparison Datomic vs. RocksDB vs. TypeDB vs. UniData,UniVerse vs. YDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonRocksDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageMultiValue database and application server with SQL mapping layer and meta database capabilitiesA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSKey-value storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Multivalue DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.datomic.comrocksdb.orgtypedb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatagithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.datomic.comgithub.com/­facebook/­rocksdb/­wikitypedb.com/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidataydb.tech/­en/­docs
DeveloperCognitectFacebook, Inc.VaticleRocket SoftwareYandex
Initial release20122013201619852019
Current release1.0.7075, December 20239.2.1, May 20242.26.3, January 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSDOpen Source infoGPL Version 3, commercial licenses availablecommercialOpen Source infoApache 2.0; commercial license available
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.
Implementation languageJava, ClojureC++JavaC
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoyesoptionalyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLnononoyesSQL-like query language (YQL)
APIs and other access methodsRESTful HTTP APIC++ API
Java API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesClojure
Java
C
C++
Go
Java
Perl
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
Basic infoU2 Basic
C
Java
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonoyesno
TriggersBy using transaction functionsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningSharding infoby using CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesMulti-source replication infoby using CassandraSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infosubstituted by the relationship featurenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID infoconfigurableACID
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 developmentyesnono
User concepts infoAccess controlnonoyes infoat REST API level; other APIs in progressAccess rights according to SQL-standard and operating system basedAccess rights defined for Yandex Cloud users
More information provided by the system vendor
DatomicRocksDBTypeDB infoformerly named GraknUniData,UniVerseYDB
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
DatomicRocksDBTypeDB infoformerly named GraknUniData,UniVerseYDB
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