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DBMS > Badger vs. Google Cloud Bigtable vs. Graphite vs. Rockset vs. StarRocks

System Properties Comparison Badger vs. Google Cloud Bigtable vs. Graphite vs. Rockset vs. StarRocks

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonRockset  Xexclude from comparisonStarRocks  Xexclude from comparison
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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA scalable, reliable search and analytics service in the cloud, built on RocksDBAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelKey-value storeKey-value store
Wide column store
Time Series 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
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitegithub.com/­dgraph-io/­badgercloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webrockset.comwww.starrocks.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.rockset.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperDGraph LabsGoogleChris DavisRocksetThe Linux Foundation infosince Feb 2023
Initial release20172015200620192020
Current release2.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoPythonC++C++, Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
Unix
hostedLinux
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenonoNumeric data onlydynamic 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.nononono infoingestion from XML files supportedno
Secondary indexesnononoall fields are automatically indexedyes
SQL infoSupport of SQLnononoRead-only SQL queries, including JOINsyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HTTP RESTJDBC
MySQL protocol
Supported programming languagesGoC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresnonononouser defined functions
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneAutomatic shardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
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.nonono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users and organizations can be defined via Rockset consoleRole based access control and fine grained access rights

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More resources
BadgerGoogle Cloud BigtableGraphiteRocksetStarRocks
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