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DBMS > Databricks vs. EventStoreDB vs. GridGain vs. InfluxDB vs. Lovefield

System Properties Comparison Databricks vs. EventStoreDB vs. GridGain vs. InfluxDB vs. Lovefield

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGridGain  Xexclude from comparisonInfluxDB  Xexclude from comparisonLovefield  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.Industrial-strength, open-source database solution built from the ground up for event sourcing.GridGain is an in-memory computing platform, built on Apache IgniteDBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Relational DBMS
Event StoreKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitewww.databricks.comwww.eventstore.comwww.gridgain.comwww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefield
Technical documentationdocs.databricks.comdevelopers.eventstore.comwww.gridgain.com/­docs/­index.htmldocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperDatabricksEvent Store LimitedGridGain Systems, Inc.Google
Initial release20132012200720132014
Current release21.2, February 2021GridGain 8.5.12.7.6, April 20242.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetGoJavaScript
Server operating systemshostedLinux
Windows
Linux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes
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.yesyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
Supported programming languagesPython
R
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)noUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)selectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoDepending on used storage engineyes infousing MemoryDB
User concepts infoAccess controlSecurity Hooks for custom implementationssimple rights management via user accountsno
More information provided by the system vendor
DatabricksEventStoreDBGridGainInfluxDBLovefield
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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More resources
DatabricksEventStoreDBGridGainInfluxDBLovefield
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