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DBMS > Badger vs. Datomic vs. Google Cloud Bigtable vs. Ingres vs. Quasardb

System Properties Comparison Badger vs. Datomic vs. Google Cloud Bigtable vs. Ingres vs. Quasardb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIngres  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Well established RDBMSDistributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMSKey-value store
Wide column store
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comcloud.google.com/­bigtablewww.actian.com/­databases/­ingresquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comcloud.google.com/­bigtable/­docsdocs.actian.com/­ingresdoc.quasar.ai/­master
DeveloperDGraph LabsCognitectGoogleActian Corporationquasardb
Initial release2017201220151974 infooriginally developed at University Berkely in early 1970s2009
Current release1.0.6735, June 202311.2, May 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureCC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoyesyes infointeger and binary
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.nononono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesnoyesyes infowith tags
SQL infoSupport of SQLnononoyesSQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Supported programming languagesGoClojure
Java
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnoyesno
TriggersnoBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersInternal replication in Colossus, and regional replication between two clusters in different zonesIngres ReplicatorSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnonoyes infoTransient mode
User concepts infoAccess controlnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
BadgerDatomicGoogle Cloud BigtableIngresQuasardb
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