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DBMS > Apache Druid vs. GeoSpock

System Properties Comparison Apache Druid vs. GeoSpock

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSpatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.63
Rank#114  Overall
#58  Relational DBMS
#6  Time Series DBMS
Score0.12
Rank#314  Overall
#143  Relational DBMS
Websitedruid.apache.orggeospock.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.geospock.com/­Content/­Home.htm
DeveloperApache Software Foundation and contributorsGeoSpock
Initial release2012
Current release0.22.1, December 20212.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, Javascript
Server operating systemsLinux
OS X
Unix
hosted
Data schemeyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyestemporal, categorical
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per table

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More resources
Apache DruidGeoSpock
Recent citations in the news

Imply Announces Major Open Source Contribution for Apache Druid; New Financial Guarantee for Apache Druid Users
20 September 2022, Business Wire

Apache Druid Takes Its Place In The Pantheon Of Databases
16 June 2022, The Next Platform

How to install the Apache Druid real-time analytics database on Ubuntu-based Linux distributions
25 May 2022, TechRepublic

Apache Druid Gets Multi-Stage Reporting Engine, Cloud Service from Imply
1 March 2022, Datanami

See Why Mutability Is Essential For Real-Time Data Analytics
22 September 2022, GearBrain

provided by Google News

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

GeoSpock joins Tomorrow Street to accelerate next-generation database technology adoption
28 October 2020, RealWire

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

Future directions
31 August 2022, The News International

provided by Google News

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