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DBMS > Badger vs. Datomic vs. Rockset vs. Snowflake

System Properties Comparison Badger vs. Datomic vs. Rockset vs. Snowflake

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonRockset  Xexclude from comparisonSnowflake  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 durabilityA scalable, reliable search and analytics service in the cloud, built on RocksDBCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
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
Score0.79
Rank#211  Overall
#35  Document stores
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comrockset.comwww.snowflake.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comdocs.rockset.comdocs.snowflake.net/­manuals/­index.html
DeveloperDGraph LabsCognitectRocksetSnowflake Computing Inc.
Initial release2017201220192014
Current release1.0.6735, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhostedhosted
Data schemeschema-freeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or datenoyesdynamic typingyes
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 infoingestion from XML files supportedyes
Secondary indexesnoyesall fields are automatically indexed
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsyes
APIs and other access methodsRESTful HTTP APIHTTP RESTCLI Client
JDBC
ODBC
Supported programming languagesGoClojure
Java
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnouser defined functions
TriggersnoBy using transaction functionsnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersAutomatic shardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
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 developmentno
User concepts infoAccess controlnonoAccess rights for users and organizations can be defined via Rockset consoleUsers with fine-grained authorization concept, user roles and pluggable authentication

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BadgerDatomicRocksetSnowflake
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