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DBMS > Badger vs. EXASOL vs. GreptimeDB

System Properties Comparison Badger vs. EXASOL vs. GreptimeDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEXASOL  Xexclude from comparisonGreptimeDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.High-performance, in-memory, MPP database specifically designed for in-memory analytics.An open source Time Series DBMS built for increased scalability, high performance and efficiency
Primary database modelKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.exasol.comgreptime.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.exasol.com/­resourcesdocs.greptime.com
DeveloperDGraph LabsExasolGreptime Inc.
Initial release201720002022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
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.
Implementation languageGoRust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesschema-free, schema definition possible
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 indexesnoyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC
HTTP API
JDBC
Supported programming languagesGoJava
Lua
Python
R
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsPython
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardSimple rights management via user accounts
More information provided by the system vendor
BadgerEXASOLGreptimeDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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BadgerEXASOLGreptimeDB
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