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DBMS > Databricks vs. H2GIS vs. InfluxDB vs. PouchDB vs. TinkerGraph

System Properties Comparison Databricks vs. H2GIS vs. InfluxDB vs. PouchDB vs. TinkerGraph

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonH2GIS  Xexclude from comparisonInfluxDB  Xexclude from comparisonPouchDB  Xexclude from comparisonTinkerGraph  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.Spatial extension of H2DBMS for storing time series, events and metricsJavaScript DBMS with an API inspired by CouchDBA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Relational DBMS
Spatial DBMSTime Series DBMSDocument storeGraph DBMS
Secondary database modelsRelational DBMSSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.databricks.comwww.h2gis.orgwww.influxdata.com/­products/­influxdb-overviewpouchdb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.databricks.comwww.h2gis.org/­docs/­homedocs.influxdata.com/­influxdbpouchdb.com/­guides
DeveloperDatabricksCNRSApache Software Foundation
Initial release20132013201320122009
Current release2.7.6, April 20247.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open Source infoMIT-License; commercial enterprise version availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaScriptJava
Server operating systemshostedLinux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnoyes
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.yesnononono
Secondary indexesyesyesnoyes infovia viewsno
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
JSON over UDP
HTTP REST infoonly for PouchDB Server
JavaScript API
TinkerPop 3
Supported programming languagesPython
R
Scala
Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptGroovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infobased on H2noView functions in JavaScriptno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlySharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on H2selectable replication factor infoin enterprise version onlyMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesno
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoDepending on used storage engineyesyes
User concepts infoAccess controlyes infobased on H2simple rights management via user accountsnono
More information provided by the system vendor
DatabricksH2GISInfluxDBPouchDBTinkerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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