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DBMS > Databend vs. Hawkular Metrics vs. ReductStore vs. Transwarp StellarDB

System Properties Comparison Databend vs. Hawkular Metrics vs. ReductStore vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonReductStore  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.A distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.hawkular.orggithub.com/­reductstore
www.reduct.store
www.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.databend.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.reduct.store/­docs
DeveloperDatabend LabsCommunity supported by Red HatReductStore LLCTranswarp
Initial release202120142023
Current release1.0.59, April 20231.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoBusiness Source License 1.1commercial
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 languageRustJavaC++, Rust
Server operating systemshosted
Linux
macOS
Linux
OS X
Windows
Docker
Linux
macOS
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnono
SQL infoSupport of SQLyesnoSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
HTTP RESTHTTP APIOpenCypher
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Go
Java
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnono
Triggersnoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrahorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
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.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnoyes

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More resources
DatabendHawkular MetricsReductStoreTranswarp StellarDB
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