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DBMS > AgensGraph vs. EXASOL vs. Riak KV vs. Tarantool

System Properties Comparison AgensGraph vs. EXASOL vs. Riak KV vs. Tarantool

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonEXASOL  Xexclude from comparisonRiak KV  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Distributed, fault tolerant key-value storeIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score1.63
Rank#139  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Websitebitnine.net/­agensgraphwww.exasol.comwww.tarantool.io
Technical documentationbitnine.net/­documentationwww.exasol.com/­resourceswww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.tarantool.io/­en/­doc
DeveloperBitnine Global Inc.ExasolOpenSource, formerly Basho TechnologiesVK
Initial release2016200020092008
Current release2.1, December 20183.2.0, December 20222.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache version 2, commercial enterprise editionOpen 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 languageCErlangC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
BSD
Linux
macOS
Data schemedepending on used data modelyesschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesnostring, 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 indexesyesyesrestrictedyes
SQL infoSupport of SQLyesyesnoFull-featured ANSI SQL support
APIs and other access methodsCypher Query Language
JDBC
.Net
JDBC
ODBC
WebSocket
HTTP API
Native Erlang Interface
Open binary protocol
Supported programming languagesC
Java
JavaScript
Python
Java
Lua
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyesuser defined functionsErlangLua, C and SQL stored procedures
Triggersnoyesyes infopre-commit hooks and post-commit hooksyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingSharding infono "single point of failure"Sharding, 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 nodesSource-replica replicationselectable replication factorAsynchronous 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 methodsnoyes infoHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyCasual 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 integrityyesyesno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID, 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 persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardyes, using Riak SecurityAccess 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
AgensGraphEXASOLRiak KVTarantool
DB-Engines blog posts

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

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