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DBMS > Badger vs. SingleStore vs. SurrealDB vs. XTDB

System Properties Comparison Badger vs. SingleStore vs. SurrealDB vs. XTDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSurrealDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.MySQL 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 typeA fully ACID transactional, developer-friendly, multi-model DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeRelational DBMSDocument store
Graph DBMS
Document store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.singlestore.comsurrealdb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.singlestore.comsurrealdb.com/­docswww.xtdb.com/­docs
DeveloperDGraph LabsSingleStore Inc.SurrealDB LtdJuxt Ltd.
Initial release2017201320222019
Current release8.5, January 2024v1.5.0, May 20241.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree developer edition availableOpen SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
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 languageGoC++, GoRustClojure
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux info64 bit version requiredLinux
macOS
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyes, extensible-data-notation format
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 indexesnoyesyes
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysSQL-like query languagelimited SQL, making use of Apache Calcite
APIs and other access methodsCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
GraphQL
RESTful HTTP API
WebSocket
HTTP REST
JDBC
Supported programming languagesGoBash
C
C#
Java
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
Clojure
Java
Server-side scripts infoStored proceduresnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infostores two copies of each physical data partition on two separate nodesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoFine grained access control via users, groups and rolesyes, based on authentication and database rules
More information provided by the system vendor
BadgerSingleStore infoformer name was MemSQLSurrealDBXTDB infoformerly named Crux
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving 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 modelsF ree Tier and Enterprise Edition
» more

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More resources
BadgerSingleStore infoformer name was MemSQLSurrealDBXTDB infoformerly named Crux
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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