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DBMS > Datomic vs. Drizzle vs. DuckDB vs. Hypertable vs. SiriDB

System Properties Comparison Datomic vs. Drizzle vs. DuckDB vs. Hypertable vs. SiriDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonDuckDB  Xexclude from comparisonHypertable  Xexclude from comparisonSiriDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An embeddable, in-process, column-oriented SQL OLAP RDBMSAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Time Series DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websitewww.datomic.comduckdb.orgsiridb.com
Technical documentationdocs.datomic.comduckdb.org/­docsdocs.siridb.com
DeveloperCognitectDrizzle project, originally started by Brian AkerHypertable Inc.Cesbit
Initial release20122008201820092017
Current release1.0.7075, December 20237.2.4, September 20121.0.0, June 20240.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLOpen Source infoMIT LicenseOpen Source infoGNU version 3. Commercial license availableOpen 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, ClojureC++C++C++C
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
server-lessLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes infoNumeric data
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.nonono
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesnono
APIs and other access methodsRESTful HTTP APIJDBCArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
C++ API
Thrift
HTTP API
Supported programming languagesClojure
Java
C
C++
Java
PHP
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C++
Java
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsnononono
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
noneselectable replication factor on file system levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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 developmentyesyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPnonosimple rights management via user accounts

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More resources
DatomicDrizzleDuckDBHypertableSiriDB
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