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DBMS > BigchainDB vs. Drizzle vs. Faircom EDGE vs. Geode vs. Kinetica

System Properties Comparison BigchainDB vs. Drizzle vs. Faircom EDGE vs. Geode vs. Kinetica

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDrizzle  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGeode  Xexclude from comparisonKinetica  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.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFully vectorized database across both GPUs and CPUs
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.bigchaindb.comwww.faircom.com/­products/­faircom-edgegeode.apache.orgwww.kinetica.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgeode.apache.org/­docsdocs.kinetica.com
DeveloperDrizzle project, originally started by Brian AkerFairCom CorporationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Kinetica
Initial release20162008197920022012
Current release7.2.4, September 2012V3, October 20201.1, February 20177.1, August 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoGNU GPLcommercial infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++ANSI C, C++JavaC, C++
Server operating systemsLinuxFreeBSD
Linux
OS X
Android
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesyesyes
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.noyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infoANSI SQL queriesSQL-like query language (OQL)SQL-like DML and DDL statements
APIs and other access methodsCLI Client
RESTful HTTP API
JDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C++
Java
PHP
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++user defined functionsuser defined functions
Triggersno infohooks for callbacks inside the server can be used.yesyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingFile partitioning infoCustomizable business rules for partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
yes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlyesPluggable authentication mechanisms infoe.g. LDAP, HTTPFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights per client and object definableAccess rights for users and roles on table level

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BigchainDBDrizzleFaircom EDGE infoformerly c-treeEDGEGeodeKinetica
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