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DBMS > Apache Druid vs. CockroachDB vs. GeoSpock

System Properties Comparison Apache Druid vs. CockroachDB vs. GeoSpock

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCockroachDB  Xexclude from comparisonGeoSpock  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCockroachDB 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.Spatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.39
Rank#124  Overall
#61  Relational DBMS
#8  Time Series DBMS
Score7.98
Rank#56  Overall
#33  Relational DBMS
Score0.30
Rank#303  Overall
#137  Relational DBMS
Websitedruid.apache.orgwww.cockroachlabs.comgeospock.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.cockroachlabs.com/­docsdocs.geospock.com/­Content/­Home.htm
DeveloperApache Software Foundation and contributorsCockroach LabsGeoSpock
Initial release20122015
Current release24.0.0, September 202221.1.2, June 20212.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CockroachDB: A cloud-native, distributed SQL database designed for speed, scale, and survival. Get started for free today with a fully-managed CockroachDB cluster -- leave operations behind and get your app to market faster.
Implementation languageJavaGoJava, Javascript
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
hosted
Data schemeyes infoschema-less columns are supporteddynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyestemporal, categorical
SQL infoSupport of SQLSQL for queryingyes, wire compatible with PostgreSQLANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCJDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal 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 RAFTAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlAccess rights for users can be defined per table
More information provided by the system vendor
Apache DruidCockroachDBGeoSpock
Specific characteristicsCockroachDB is a cloud-native, distributed SQL database architected for modern applications....
» more
Competitive advantages- EFFORTLESS SCALE: Scale your applications, not operational complexity. CockroachDB...
» more
Typical application scenariosSystem of record (financial ledger, inventory management, transaction record), identity...
» more
Key customersComcast, DoorDash, Mythical Games, Norfolk Southern, LUSH, Bose, Shipt, Bitski, Five9,...
» more
Market metrics8K+ long-running clusters 2.5K+ CockroachDB self-hosted clusters 20K+ CockroachDB...
» more
Licensing and pricing models- Apache 2.0 for core features released up to and including the 19.1 release - Time-limited...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DruidCockroachDBGeoSpock
Recent citations in the news

Apache Druid’s Role in Modern Data Analytics
10 November 2022, DevOps.com

Imply Announces Details of Druid Summit 2022 Virtual Conferences
21 November 2022, Datanami

Imply Announces Major Open Source Contribution for Apache Druid; New Financial Guarantee for Apache Druid Users
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MindsDB is now the leading and fastest growing applied ML platform in the world
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17 November 2022, mattturck.com

CockroachDB gets database migration tool, as CockroachDB Serverless launches
21 September 2022, InfoWorld

CockroachDB adds command line tool as database hits version 22.1
24 May 2022, The Register

CockroachDB 22.1 Strengthens its Distributed SQL Database
3 June 2022, Database Trends and Applications

provided by Google News

Cambridge-Based GeoSpock Secures £10 Million Additional Funding
8 January 2019, Business Wire

Cambridge-based data analytics startup GeoSpock lands €4.6 million
2 October 2020, EU-Startups

UK-based database GeoSpock bags $5.4m, to expand into
6 October 2020, Tech in Asia

GeoSpock showcases rapid expansion with data insights
16 July 2018, Cambridge Independent

GeoSpock is big in Japan – data-wise and streetwise
10 July 2018, Business Weekly

provided by Google News

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