DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Bigtable vs. InfluxDB vs. OmniSci

System Properties Comparison Google Cloud Bigtable vs. InfluxDB vs. OmniSci

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonInfluxDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.DBMS for storing time series, events and metricsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelWide column storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.63
Rank#91  Overall
#8  Wide column stores
Score28.38
Rank#29  Overall
#1  Time Series DBMS
Score1.26
Rank#154  Overall
#75  Relational DBMS
Websitecloud.google.com/­bigtablewww.influxdata.com/­products/­influxdb-overviewgithub.com/­omnisci/­omniscidb
www.omnisci.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.influxdata.com/­influxdbdocs.omnisci.com
DeveloperGoogleMapD Technologies, Inc.
Initial release201520132016
Current release2.0.8, August 20215.6, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDA
Server operating systemshostedLinux
OS X infothrough Homebrew
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoNumeric 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.nonono
Secondary indexesnonono
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JSON over UDP
JDBC
ODBC
Thrift
Vega
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infoin enterprise version onlyMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnono
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.noyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud BigtableInfluxDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

Getting Started with the InfluxDB 2.0 API and Postman
6 December 2021

Expand Kubernetes Monitoring with Telegraf Operator
3 December 2021

TL;DR InfluxDB Tech Tips – Visualizing Uptime with Flux deadman() Function in InfluxDB Dashboards
2 December 2021

Plugin Spotlight: Exec & Execd
2 December 2021

Data Visualization Made Easy with ReactJS, Nivo and InfluxDB
1 December 2021

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

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

More resources
Google Cloud BigtableInfluxDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

11 Tools You Should Use as a Google Cloud Expert
1 December 2021, MakeUseOf

Amazon (AMZN) Boosts AWS Offerings With Database Capabilities
3 December 2021, Nasdaq

Google Cloud Improves SLA for Bigtable and Adds New Security Features
19 June 2021, InfoQ.com

Bigtable vs Bigquery - A Quick Overview
9 September 2021, Analytics India Magazine

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

Scaling telemetry monitoring with InfluxDB
30 November 2021, InfoWorld

InfluxData Brings Time Series Expertise to AWS re:Invent 2021
17 November 2021, Business Wire

InfluxData Announces New Features Aimed at App Development
27 October 2021, Datanami

InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data
14 April 2021, Business Wire

Monitoring PLC and SCADA Systems Using MQTT and InfluxDB -- ADTmag
30 September 2021, ADT Magazine

provided by Google News

USD 361.56 million growth for GPU Database Market from 2020 to 2025 |Evolving Opportunities with BlazingSQL Inc., Brytlyt Ltd. & Hetero DB Co. Ltd.|17000+ Technavio Reports
26 November 2021, Yahoo Finance

OmniSci Announces Multiple Opportunities To Accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16
12 April 2021, PRNewswire

Incredible Growth of GPU Database Market by 2028 | Kinetica, Omnisci, Sqream
4 October 2021, Global Banking And Finance Review

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

OmniSci Drops OmniSci Free Edition Analytics and Data Science Platform
9 March 2021, Solutions Review

provided by Google News

Job opportunities

Platform Machine Learning Engineer
Spotify, New York, NY

Data Engineer, Content Platform
Spotify, New York, NY

Google Cloud Platform Data Engineer and Subject Matter Expert
Booz Allen Hamilton, McLean, VA

Google Cloud Infrastructure Engineer- Location Open
Deloitte, Hattiesburg, MS

Senior Google Cloud Platform Engineer
Rural Sourcing Inc., Augusta, GA

Data Scientist
Verizon, Irving, TX

Data Engineer
Two Six Technologies, Arlington, VA

Data Engineer
Trusted Concepts, Inc, McLean, VA

Vice President of Product (Software)
InterVenn, South San Francisco, CA

Software Developer
Trusted Concepts, Inc, McLean, VA

jobs by Indeed



Share this page

Featured Products

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Couchbase logo

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

Neo4j logo

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

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Present your product here