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DBMS > Badger vs. Google Cloud Bigtable vs. InfluxDB vs. Teradata Aster vs. Valentina Server

System Properties Comparison Badger vs. Google Cloud Bigtable vs. InfluxDB vs. Teradata Aster vs. Valentina Server

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInfluxDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonValentina Server  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Google'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 metricsPlatform for big data analytics on multistructured data sources and typesObject-relational database and reports server
Primary database modelKey-value storeKey-value store
Wide column store
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­dgraph-io/­badgercloud.google.com/­bigtablewww.influxdata.com/­products/­influxdb-overviewwww.valentina-db.net
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­bigtable/­docsdocs.influxdata.com/­influxdbvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDGraph LabsGoogleTeradataParadigma Software
Initial release20172015201320051999
Current release2.7.6, April 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X infothrough Homebrew
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or datenonoNumeric data and Stringsyesyes
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.nononoyes infoin Aster File Store
Secondary indexesnononoyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
OLE DB
ODBC
Supported programming languagesGoC#
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
C
C#
C++
Java
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoR packagesyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infoin enterprise version onlyyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoDepending on used storage enginenoyes
User concepts infoAccess controlnoAccess 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-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerGoogle Cloud BigtableInfluxDBTeradata AsterValentina Server
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
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