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DBMS > Dgraph vs. GreptimeDB vs. Hawkular Metrics vs. Oracle Berkeley DB

System Properties Comparison Dgraph vs. GreptimeDB vs. Hawkular Metrics vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSAn open source Time Series DBMS built for increased scalability, high performance and efficiencyHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Widely used in-process key-value store
Primary database modelGraph DBMSTime Series DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitedgraph.iogreptime.comwww.hawkular.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdgraph.io/­docsdocs.greptime.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperDgraph Labs, Inc.Greptime Inc.Community supported by Red HatOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2016202220141994
Current release18.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infocommercial license available
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 languageGoRustJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infoonly with the Berkeley DB XML edition
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC
HTTP API
JDBC
HTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Erlang
Go
Java
JavaScript
Go
Java
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnoPythonnono
Triggersnoyes infovia Hawkular Alertingyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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
User concepts infoAccess controlno infoPlanned for future releasesSimple rights management via user accountsnono
More information provided by the system vendor
DgraphGreptimeDBHawkular MetricsOracle Berkeley DB
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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DgraphGreptimeDBHawkular MetricsOracle Berkeley DB
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