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DBMS > Hawkular Metrics vs. ITTIA vs. jBASE vs. YugabyteDB

System Properties Comparison Hawkular Metrics vs. ITTIA vs. jBASE vs. YugabyteDB

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonITTIA  Xexclude from comparisonjBASE  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.Edge Time Series DBMS with Real-Time Stream ProcessingA robust multi-value DBMS comprising development tools and middlewareHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelTime Series DBMSTime Series DBMSMultivalue DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument 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
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.hawkular.orgwww.ittia.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.yugabyte.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperCommunity supported by Red HatITTIA L.L.C.Rocket Software (formerly Zumasys)Yugabyte Inc.
Initial release2014200719912017
Current release8.75.72.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen 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 languageJavaC and C++C and C++
Server operating systemsLinux
OS X
Windows
Linux
Windows
AIX
Linux
Windows
Linux
OS X
Data schemeschema-freeFixed schemaschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervaloptionalyes
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.nonoyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesEmbedded SQL for jBASE in BASICyes, PostgreSQL compatible
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
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++
JavaScript (Node.js)
Python
.Net
Basic
Jabbascript
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyesyesyes infosql, plpgsql, C
Triggersyes infovia Hawkular Alertingnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesyesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyesno
User concepts infoAccess controlnoDatabase file passwordsAccess rights can be defined down to the item levelyes
More information provided by the system vendor
Hawkular MetricsITTIAjBASEYugabyteDB
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 MetricsITTIAjBASEYugabyteDB
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