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DBMS > Badger vs. QuestDB vs. SingleStore

System Properties Comparison Badger vs. QuestDB vs. SingleStore

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonQuestDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high performance open source SQL database for time series dataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#381  Overall
#57  Key-value stores
Score2.49
Rank#135  Overall
#10  Time Series DBMS
Score6.77
Rank#64  Overall
#35  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerquestdb.iowww.singlestore.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerquestdb.io/­docs/­introductiondocs.singlestore.com
DeveloperDGraph LabsQuestDB LimitedSingleStore Inc.
Initial release201720142013
Current release8.1, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageGoJavaC++, Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux info64 bit version required
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesnonoyes
SQL infoSupport of SQLnoSQL-like query languageyes infobut no triggers and foreign keys
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGoC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)Sharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable consistency for N replicasSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes
User concepts infoAccess controlnoFine grained access control via users, groups and roles
More information provided by the system vendor
BadgerQuestDBSingleStore infoformer name was MemSQL
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsApache 2.0.
» more
F ree Tier and Enterprise Edition
» more
News

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8 June 2023

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19 May 2023

Optimizing the Optimizer: the Time-Series Benchmark Suite
18 May 2023

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.

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More resources
BadgerQuestDBSingleStore infoformer name was MemSQL
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