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DBMS > Datomic vs. openGauss vs. Oracle Coherence vs. Tarantool

System Properties Comparison Datomic vs. openGauss vs. Oracle Coherence vs. Tarantool

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonopenGauss  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOracles in-memory data grid solutionIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitewww.datomic.comgitee.com/­opengauss
opengauss.org
www.oracle.com/­java/­coherencewww.tarantool.io
Technical documentationdocs.datomic.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.oracle.com/­en/­middleware/­standalone/­coherencewww.tarantool.io/­en/­doc
DeveloperCognitectHuawei and openGauss communityOracleVK
Initial release2012201920072008
Current release1.0.7075, December 20233.0, March 202214.1, August 20232.10.0, May 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen SourcecommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
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++, JavaJavaC and C++
Server operating systemsAll OS with a Java VMLinuxAll OS with a Java VMBSD
Linux
macOS
Data schemeyesyesschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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 SQLnoANSI SQL 2011noFull-featured ANSI SQL support
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JCache
JPA
RESTful HTTP API
Open binary protocol
Supported programming languagesClojure
Java
C
C++
Java
.Net
C++
Java
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infoTransaction FunctionsyesnoLua, C and SQL stored procedures
TriggersBy using transaction functionsyesyes infoLive Eventsyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning (by range, list and hash)ShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationyes, with selectable consistency levelAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDconfigurableACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infooptionallyyes, write ahead logging
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 developmentnoyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardauthentification to access the cache via certificates or http basic authenticationAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
DatomicopenGaussOracle CoherenceTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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