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DBMS > Hawkular Metrics vs. OushuDB vs. Sadas Engine vs. SurrealDB

System Properties Comparison Hawkular Metrics vs. OushuDB vs. Sadas Engine vs. SurrealDB

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonOushuDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.hawkular.orgwww.oushu.com/­product/­oushuDBwww.sadasengine.comsurrealdb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.oushu.com/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsurrealdb.com/­docs
DeveloperCommunity supported by Red HatOushuSADAS s.r.l.SurrealDB Ltd
Initial release201420062022
Current release4.0.1, August 20208.0v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree trial version availableOpen 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 languageJavaC++Rust
Server operating systemsLinux
OS X
Windows
LinuxAIX
Linux
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnoFull-featured ANSI SQL supportyesSQL-like query language
APIs and other access methodsHTTP RESTJDBC
ODBC
JDBC
ODBC
Proprietary protocol
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesGo
Java
Python
Ruby
C
C++
.Net
C
C#
C++
Groovy
Java
PHP
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyesno
Triggersyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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 infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoKerberos, SSL and role based accessAccess rights for users, groups and roles according to SQL-standardyes, based on authentication and database rules

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More resources
Hawkular MetricsOushuDBSadas EngineSurrealDB
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