DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Bigtable vs. InfluxDB vs. Memgraph

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonInfluxDB  Xexclude from comparisonMemgraph  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 hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale
Primary database modelWide column storeTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.01
Rank#107  Overall
#7  Wide column stores
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score0.05
Rank#318  Overall
#31  Graph DBMS
Websitecloud.google.com/­bigtablewww.influxdata.com/­time-series-platform/­influxdbmemgraph.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.influxdata.com/­influxdbmemgraph.com/­docs
DeveloperGoogleMemgraph Ltd
Initial release201520132017
Current release1.7.8, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial infoFree license 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 C++
Server operating systemshostedLinux
OS X infothrough Homebrew
Linux
Data schemeschema-freeschema-freeschema-free and schema-optional
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 indexesnono
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JSON over UDP
Bolt protocol
Cypher query language
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
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding infodynamic graph partitioning
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-Master replication using RAFT
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 integritynonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
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 accountsUsers, roles and permissions

More information provided by the system vendor

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 BigtableInfluxDBMemgraph
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

Google will soon open a cloud region in Poland
27 September 2019, TechCrunch

Cloudera Extends Apache HBase To Use Amazon S3
4 October 2019, iProgrammer

Apache Rya Becomes Top Level Project
8 October 2019, iProgrammer

Google Expands Cloud BigTable Replication Capabilities Globally in Beta
20 March 2019, InfoQ.com

Google Cloud Bigtable Replication Out of Beta After Just One Month
14 May 2019, Computer Business Review

provided by Google News

InfluxDB Cloud 2.0 expands open source time series database
17 September 2019, TechTarget

InfluxData Releases Serverless Time Series Database for Cloud
23 September 2019, ADT Magazine

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, Business Wire

An Introduction to InfluxDB
5 August 2019, The Collegian

InfluxData unveils InfluxDB Cloud 2.0, a serverless time series platform
12 September 2019, Help Net Security

provided by Google News

FactGem and Memgraph Partner to Give Clients Access to Real-Time, Transaction Based Analytics
1 February 2019, PRNewswire

Graph Database Market Report Examines Latest Trends and Key Drivers Supporting Growth
9 October 2019, 5Gigs News

Graph Database Market 2019 Precise Outlook – IBM, Microsoft, Oracle, AWS, Datastax
16 September 2019, Industry Segment

Graph Database Market To Worth +3 Billion with An Incredible CAGR Of +24 By 2027 Top Players- IBM, Microsoft, Oracle, AWS, Neo4j, Orientdb, Teradata, Tibco Software, Franz, Openlink Software
8 October 2019, Market Report Gazette

Global Graph Database Market Insights, Forecast to 2025 with Major Companies- Microsoft, Oracle, IBM
2 October 2019, The Ukiah Post

provided by Google News

Job opportunities

Data Engineer - McAllen, TX
Vantage Bank Texas, McAllen, TX

Software Engineer, Messenger
Facebook, Seattle, WA

Google Cloud Architect
Merkle Inc., Alpharetta, GA

Research Associate (Cloud Computing Data Analyst)
North Carolina State University, Asheville, NC

Director of Data Analytics
Third Republic, Chinatown, NY

Infrastructure Engineer
Ipsy, San Mateo, CA

ERM Software Developer
Delphinus Engineering, Philadelphia, PA

CMAS Software Developer
Delphinus Engineering, Philadelphia, PA

Tool Development and Automation - Equities Electronic Trading
Goldman Sachs, New York, NY

Senior Product Development Engineer
Verizon, Irving, TX

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here