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DBMS > Altibase vs. Drizzle vs. PouchDB vs. Tarantool

System Properties Comparison Altibase vs. Drizzle vs. PouchDB vs. Tarantool

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonDrizzle  Xexclude from comparisonPouchDB  Xexclude from comparisonTarantool  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.
DescriptionAn enterprise grade, high-performance RDBMSMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.JavaScript DBMS with an API inspired by CouchDBIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSRelational DBMSDocument storeDocument 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
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitealtibase.compouchdb.comwww.tarantool.io
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualspouchdb.com/­guideswww.tarantool.io/­en/­doc
DeveloperAltibaseDrizzle project, originally started by Brian AkerApache Software FoundationVK
Initial release1999200820122008
Current releasev7.3, 2023, August 20237.2.4, September 20127.1.1, June 20192.10.0, May 2022
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoGNU GPLOpen SourceOpen 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 languageC++C++JavaScriptC and C++
Server operating systemsAIX
HP-UX
Linux
FreeBSD
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)BSD
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 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.nonono
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLANSI SQL-92yes infowith proprietary extensionsnoFull-featured ANSI SQL support
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBCHTTP REST infoonly for PouchDB Server
JavaScript API
Open binary protocol
Supported programming languagesC
C++
Java
C
C++
Java
PHP
JavaScriptC
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresstored procedures and stored functionsnoView functions in JavaScriptLua, C and SQL stored procedures
Triggersyesno infohooks for callbacks inside the server can be used.yesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding, 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 nodesyesMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Asynchronous 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 methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 integrityyesyesnoyes
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 datayesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess 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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AltibaseDrizzlePouchDBTarantool
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