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DBMS > Badger vs. Brytlyt vs. QuestDB vs. SurrealDB

System Properties Comparison Badger vs. Brytlyt vs. QuestDB vs. SurrealDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonQuestDB  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA high performance open source SQL database for time series dataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelKey-value storeRelational DBMSTime Series DBMSDocument store
Graph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.ioquestdb.iosurrealdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.ioquestdb.io/­docssurrealdb.com/­docs
DeveloperDGraph LabsBrytlytQuestDB Technology IncSurrealDB Ltd
Initial release2017201620142022
Current release5.0, August 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source
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.
Implementation languageGoC, C++ and CUDAJava (Zero-GC), C++, RustRust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesno
SQL infoSupport of SQLnoyesSQL with time-series extensionsSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped files
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, based on authentication and database rules
More information provided by the system vendor
BadgerBrytlytQuestDBSurrealDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
BadgerBrytlytQuestDBSurrealDB
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