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DBMS > Datomic vs. DuckDB vs. RocksDB vs. Sadas Engine

System Properties Comparison Datomic vs. DuckDB vs. RocksDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDuckDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn embeddable, in-process, column-oriented SQL OLAP RDBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.70
Rank#138  Overall
#68  Relational DBMS
Score0.34
Rank#267  Overall
#123  Relational DBMS
Score3.91
Rank#89  Overall
#15  Key-value stores
Score0.00
Rank#354  Overall
#152  Relational DBMS
Websitewww.datomic.comduckdb.orgrocksdb.orgwww.sadasengine.com
Technical documentationdocs.datomic.comduckdb.org/­docsgithub.com/­facebook/­rocksdb/­wikiwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperCognitectFacebook, Inc.SADAS s.r.l.
Initial release2012201820132006
Current release1.0.6362, January 20220.2, August 20207.1.1, April 20228.0
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT LicenseOpen Source infoBSDcommercial infofree trial version available
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.
Implementation languageJava, ClojureC++C++C++
Server operating systemsAll OS with a Java VMserver-lessAIX
Linux
Windows
Data schemeyesyesschema-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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsRESTful HTTP APICLI Client
JDBC
C++ API
Java API
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
Java
C
C++
Go info3rd party driver
Java
Python
R
Ruby info3rd party driver
C++
Java
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonono
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 infomanaged by 'Learn by Usage'
User concepts infoAccess controlnononoAccess rights for users, groups and roles according to SQL-standard

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More resources
DatomicDuckDBRocksDBSadas Engine
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