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DBMS > BigchainDB vs. Databricks vs. EsgynDB vs. PouchDB

System Properties Comparison BigchainDB vs. Databricks vs. EsgynDB vs. PouchDB

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonPouchDB  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeDocument store
Relational DBMS
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.bigchaindb.comwww.databricks.comwww.esgyn.cnpouchdb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.databricks.compouchdb.com/­guides
DeveloperDatabricksEsgynApache Software Foundation
Initial release2016201320152012
Current release7.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++, JavaJavaScript
Server operating systemsLinuxhostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyesno
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 indexesyesyesyes infovia views
SQL infoSupport of SQLnowith Databricks SQLyesno
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.NetJavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored ProceduresView functions in JavaScript
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication between multi datacentersMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes 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.nonoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardno
More information provided by the system vendor
BigchainDBDatabricksEsgynDBPouchDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BigchainDBDatabricksEsgynDBPouchDB
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