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DBMS > Badger vs. Graph Engine vs. Hawkular Metrics vs. SQream DB vs. TimescaleDB

System Properties Comparison Badger vs. Graph Engine vs. Hawkular Metrics vs. SQream DB vs. TimescaleDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSQream DB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.a GPU-based, columnar RDBMS for big data analytics workloadsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeGraph DBMS
Key-value store
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.graphengine.iowww.hawkular.orgsqream.comwww.timescale.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.graphengine.io/­docs/­manualwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.sqream.comdocs.timescale.com
DeveloperDGraph LabsMicrosoftCommunity supported by Red HatSQream TechnologiesTimescale
Initial release20172010201420172017
Current release2022.1.6, December 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo.NET and CJavaC++, CUDA, Haskell, Java, ScalaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
.NETLinux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes, ANSI Standard SQL Typesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesnononoyes
SQL infoSupport of SQLnononoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APIHTTP REST.Net
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGoC#
C++
F#
Visual Basic
Go
Java
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesnouser defined functions in Pythonuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infobased on Cassandrahorizontal and vertical partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandranoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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More resources
BadgerGraph Engine infoformer name: TrinityHawkular MetricsSQream DBTimescaleDB
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