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DBMS > Hawkular Metrics vs. HBase vs. SQream DB vs. YugabyteDB

System Properties Comparison Hawkular Metrics vs. HBase vs. SQream DB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonSQream DB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTablea GPU-based, columnar RDBMS for big data analytics workloadsHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelTime Series DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.hawkular.orghbase.apache.orgsqream.comwww.yugabyte.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmldocs.sqream.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetSQream TechnologiesYugabyte Inc.
Initial release2014200820172017
Current release2.3.4, January 20212022.1.6, December 20222.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercialOpen Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaJavaC++, CUDA, Haskell, Java, ScalaC and C++
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
LinuxLinux
OS X
Data schemeschema-freeschema-free, schema definition possibleyesdepending on used data model
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes, ANSI Standard SQL Typesyes
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 indexesnononoyes
SQL infoSupport of SQLnonoyesyes, PostgreSQL compatible
APIs and other access methodsHTTP RESTJava API
RESTful HTTP API
Thrift
.Net
JDBC
ODBC
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javauser defined functions in Pythonyes infosql, plpgsql, C
Triggersyes infovia Hawkular Alertingyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal and vertical partitioningHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
noneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes
More information provided by the system vendor
Hawkular MetricsHBaseSQream DBYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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Hawkular MetricsHBaseSQream DBYugabyteDB
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