DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Drizzle vs. Google BigQuery vs. Kinetica vs. TerarkDB

System Properties Comparison Drizzle vs. Google BigQuery vs. Kinetica vs. TerarkDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Large scale data warehouse service with append-only tablesFully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score43.92
Rank#25  Overall
#16  Relational DBMS
Score0.73
Rank#205  Overall
#101  Relational DBMS
Score0.05
Rank#326  Overall
#51  Key-value stores
Websitecloud.google.com/­bigquerywww.kinetica.comgithub.com/­Terark/­terarkdb
Technical documentationcloud.google.com/­bigquery/­docswww.kinetica.com/­docsgithub.com/­Terark/­terarkdb/­wiki
DeveloperDrizzle project, originally started by Brian AkerGoogleKineticaTerark
Initial release2008201020122016
Current release7.2.4, September 20127.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C++
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBCRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptuser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights for users and roles on table levelno
More information provided by the system vendor
DrizzleGoogle BigQueryKineticaTerarkDB
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DrizzleGoogle BigQueryKineticaTerarkDB
DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

Google’s Logica language addresses SQL’s flaws
15 April 2021, InfoWorld

Google Cloud Feature Lets Enterprises Find, Delete Abandoned Projects | Internet News
9 August 2021, InternetNews.com

Google's Logica language addresses SQL's flaws
18 April 2021, ARNnet

Winning the 2020 Google Cloud Technology Partner of the Year – Infrastructure Modernization Award
20 July 2021, CIO

Comparing Redshift and BigQuery in various terms
13 December 2018, Analytics India Magazine

provided by Google News

Newswire & Press Release / Curtiss-Wright Adds Kinetica Software Support to the PacStar® 453 GPU Module for Intelligent Sensor Data Analytics - Electronics / Instrumentation / RFID - Curtiss-Wright Corporation | NewswireToday
22 September 2021, Newswire Today

Preventing the Next 9/11 Goal of NORAD's New Streaming Data Warehouse
30 August 2021, Datanami

United States GPU Database Market Size, Growth And Analysis By Leading Keyplayers – Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox – Stillwater Current
20 September 2021, Stillwater Current

Kinetica Fuses Streaming and Contextual Analysis At Scale
14 September 2021, MarTech Series

Kinetica Fuses Streaming and Contextual Analysis
14 September 2021, insideHPC

provided by Google News

ByteDance eyes big data push with Terark acquisition EJINSIGHT
30 April 2019, EJ Insight

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

provided by Google News



Share this page

Featured Products

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database machine learning. Try Vertica for free with no time limit.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here