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DBMS > BigchainDB vs. Drizzle vs. EXASOL vs. InfinityDB vs. PouchDB

System Properties Comparison BigchainDB vs. Drizzle vs. EXASOL vs. InfinityDB vs. PouchDB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDrizzle  Xexclude from comparisonEXASOL  Xexclude from comparisonInfinityDB  Xexclude from comparisonPouchDB  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.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High-performance, in-memory, MPP database specifically designed for in-memory analytics.A Java embedded Key-Value Store which extends the Java Map interfaceJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.bigchaindb.comwww.exasol.comboilerbay.compouchdb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.exasol.com/­resourcesboilerbay.com/­infinitydb/­manualpouchdb.com/­guides
DeveloperDrizzle project, originally started by Brian AkerExasolBoiler Bay Inc.Apache Software Foundation
Initial release20162008200020022012
Current release7.2.4, September 20124.07.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoGNU GPLcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++JavaJavaScript
Server operating systemsLinuxFreeBSD
Linux
OS X
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or datenoyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysno
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 indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes infovia views
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesnono
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC.Net
JDBC
ODBC
WebSocket
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C++
Java
PHP
Java
Lua
Python
R
JavaJavaScript
Server-side scripts infoStored proceduresnouser defined functionsnoView functions in JavaScript
Triggersno infohooks for callbacks inside the server can be used.yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
noneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Foreign keys infoReferential integritynoyesyesno infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles according to SQL-standardnono

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More resources
BigchainDBDrizzleEXASOLInfinityDBPouchDB
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