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DBMS > BigchainDB vs. Drizzle vs. LeanXcale vs. Tigris

System Properties Comparison BigchainDB vs. Drizzle vs. LeanXcale vs. Tigris

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDrizzle  Xexclude from comparisonLeanXcale  Xexclude from comparisonTigris  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.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Document store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.bigchaindb.comwww.leanxcale.comwww.tigrisdata.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.tigrisdata.com/­docs
DeveloperDrizzle project, originally started by Brian AkerLeanXcaleTigris Data, Inc.
Initial release2016200820152022
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoGNU GPLcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++
Server operating systemsLinuxFreeBSD
Linux
OS X
Linux
macOS
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infothrough Apache Derbyno
APIs and other access methodsCLI Client
RESTful HTTP API
JDBCJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C++
Java
PHP
C
Java
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnono
Triggersno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles

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More resources
BigchainDBDrizzleLeanXcaleTigris
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