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DBMS > CrateDB vs. Druid vs. GridGain

System Properties Comparison CrateDB vs. Druid vs. GridGain

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonDruid  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneOpen-source analytics data store designed for OLAP queries on timeseries dataGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMS
Search engine
Relational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#191  Overall
#91  Relational DBMS
#13  Search engines
Score1.83
Rank#115  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score1.60
Rank#124  Overall
#22  Key-value stores
#61  Relational DBMS
Websitecrate.iodruid.apache.orgwww.gridgain.com
Technical documentationcrate.io/­docsdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­latest
DeveloperCrateMetamarkets Group and contributorsGridGain Systems, Inc.
Initial release201320122007
Current releaseGridGain 8.5.1
License infoCommercial or Open SourceOpen SourceOpen Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, C++, .Net
Server operating systemsAll OS with a Java 7 VMLinux
OS X
Unix
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infoschema-less columns are supportedyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraintsSQL support via Apache Calcite adapterANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JSON over HTTPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes (compute grid and cache interceptors can be used instead)
Triggersnonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, via HDFS, S3 or other storage enginesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynoACID
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.nonoyes
User concepts infoAccess controlrights management via user accountsno infoavailable via extensionsSecurity Hooks for custom implementations
More information provided by the system vendor
CrateDBDruidGridGain
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» 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
CrateDBDruidGridGain
Recent citations in the news

Crate.io Releases New Version of CrateDB – the Database Built to Support IoT and IIoT Businesses
5 September 2019, GlobeNewswire

Crate.io Launches CrateDB Cloud on Azure
21 October 2019, GlobeNewswire

Crate.io Receives 2019 IoT Evolution Industrial IoT Product of the Year Award
10 July 2019, GlobeNewswire

Crate.io Releases Commercial Machine Data Platform
20 June 2018, LinuxInsider.com

CrateDB Raises Cash, Upgrades Machine Data Platform
19 June 2018, Datanami

provided by Google News

Druid Developer Ramps Cloud-Native Approach
10 December 2019, Datanami

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

provided by Google News

GridGain Systems Named to Deloitte 2019 Technology Fast 500™ for Second Consecutive Year
18 November 2019, GlobeNewswire

GridGain Experts Help Businesses Harness the Power of In-Memory Computing at Multiple Industry Events
12 November 2019, GlobeNewswire

GridGain and Azul Systems Collaborate to Enable Java for Very Low-Latency Use Cases at Massive Scale
14 November 2019, GlobeNewswire

In-Memory Computing Summit North America 2019 Demonstrates How Companies Are Using In-Memory Computing to Successfully Address Digital Transformation
25 November 2019, GlobeNewswire

In-Memory Grid Market: Market Shares, Strategies, and Forecasts 2019 to 2024 | IBM Corporation, GridGain Systems, Hazelcast, Inc., Pivotal Software, Inc., Hitachi, Ltd., Oracle Corporation
11 December 2019, Commerce Gazette

provided by Google News

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