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DBMS > BigchainDB vs. Databricks vs. Informix vs. Memcached

System Properties Comparison BigchainDB vs. Databricks vs. Informix vs. Memcached

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDatabricks  Xexclude from comparisonInformix  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataIn-memory key-value store, originally intended for caching
Primary database modelDocument storeDocument store
Relational DBMS
Relational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#216  Overall
#36  Document stores
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score16.32
Rank#35  Overall
#21  Relational DBMS
Score16.84
Rank#32  Overall
#4  Key-value stores
Websitewww.bigchaindb.comwww.databricks.comwww.ibm.com/­products/­informixwww.memcached.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.databricks.cominformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
github.com/­memcached/­memcached/­wiki
DeveloperDatabricksIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2016201319842003
Current release14.10.FC5, November 20201.6.29, June 2024
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercial infofree developer edition availableOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC, C++ and JavaC
Server operating systemsLinuxhostedAIX
HP-UX
Linux
macOS
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyes infoSince Version 12.10 support for JSON/BSON datatypesno
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.noyes
Secondary indexesyesyesno
SQL infoSupport of SQLnowith Databricks SQLyesno
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Proprietary protocol
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Python
R
Scala
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
none infoRepcached, a Memcached patch, provides this functionallity
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesUsers with fine-grained authentication, authorization, and auditing controlsyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
BigchainDBDatabricksInformixMemcached
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BigchainDBDatabricksInformixMemcached
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