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DBMS > Datomic vs. Drizzle vs. HEAVY.AI vs. RavenDB

System Properties Comparison Datomic vs. Drizzle vs. HEAVY.AI vs. RavenDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRavenDB  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.
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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websitewww.datomic.comgithub.com/­heavyai/­heavydb
www.heavy.ai
ravendb.net
Technical documentationdocs.datomic.comdocs.heavy.airavendb.net/­docs
DeveloperCognitectDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.Hibernating Rhinos
Initial release2012200820162010
Current release1.0.7180, July 20247.2.4, September 20125.10, January 20225.4, July 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++C++ and CUDAC#
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
LinuxLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesSQL-like query language (RQL)
APIs and other access methodsRESTful HTTP APIJDBCJDBC
ODBC
Thrift
Vega
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesClojure
Java
C
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonoyes
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID, Cluster-wide transaction available
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
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 developmentyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
DatomicDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RavenDB
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