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DBMS > CockroachDB vs. Databricks vs. etcd vs. InfluxDB vs. Lovefield

System Properties Comparison CockroachDB vs. Databricks vs. etcd vs. InfluxDB vs. Lovefield

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.The 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 distributed reliable key-value storeDBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitewww.cockroachlabs.comwww.databricks.cometcd.io
github.com/­etcd-io/­etcd
www.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefield
Technical documentationwww.cockroachlabs.com/­docsdocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCockroach LabsDatabricksGoogle
Initial release2015201320132014
Current release24.1.0, May 20243.4, August 20192.7.6, April 20242.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoGoJavaScript
Server operating systemsLinux
macOS
Windows
hostedFreeBSD
Linux
Windows infoexperimental
Linux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemedynamic schemaFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoNumeric 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.noyesnonono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLwith Databricks SQLnoSQL-like query languageSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
HTTP API
JSON over UDP
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Python
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnonono
Triggersnoyes, watching key changesnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, 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.nononoyes infoDepending on used storage engineyes infousing MemoryDB
User concepts infoAccess controlRole-based access controlnosimple rights management via user accountsno
More information provided by the system vendor
CockroachDBDatabricksetcdInfluxDBLovefield
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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