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DBMS > Databricks vs. PouchDB vs. Tigris

System Properties Comparison Databricks vs. PouchDB vs. Tigris

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPouchDB  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionThe 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.JavaScript DBMS with an API inspired by CouchDBA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Relational DBMS
Document storeDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitewww.databricks.compouchdb.comwww.tigrisdata.com
Technical documentationdocs.databricks.compouchdb.com/­guideswww.tigrisdata.com/­docs
DeveloperDatabricksApache Software FoundationTigris Data, Inc.
Initial release201320122022
Current release7.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScript
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datenoyes
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.yesnono
Secondary indexesyesyes infovia viewsyes
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesPython
R
Scala
JavaScriptGo
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresuser defined functions and aggregatesView functions in JavaScriptno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users and roles
More information provided by the system vendor
DatabricksPouchDBTigris
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksPouchDBTigris
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