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DBMS > GreptimeDB vs. Hawkular Metrics vs. Yaacomo vs. YugabyteDB

System Properties Comparison GreptimeDB vs. Hawkular Metrics vs. Yaacomo vs. YugabyteDB

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonYaacomo  Xexclude from comparisonYugabyteDB  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn 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.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computingHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitegreptime.comwww.hawkular.orgyaacomo.comwww.yugabyte.com
Technical documentationdocs.greptime.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperGreptime Inc.Community supported by Red HatQ2WEB GmbHYugabyte Inc.
Initial release2022201420092017
Current release2.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen 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 languageRustJavaC and C++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Android
Linux
Windows
Linux
OS X
Data schemeschema-free, schema definition possibleschema-freeyesdepending on used data model
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesyes, PostgreSQL compatible
APIs and other access methodsgRPC
HTTP API
JDBC
HTTP RESTJDBC
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 languagesC++
Erlang
Go
Java
JavaScript
Go
Java
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresPythonnoyes infosql, plpgsql, C
Triggersyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrahorizontal partitioningHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationBased 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 systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDistributed 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 controlSimple rights management via user accountsnofine grained access rights according to SQL-standardyes
More information provided by the system vendor
GreptimeDBHawkular MetricsYaacomoYugabyteDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Systems of record and engagement for cloud native applications that require resilience,...
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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
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Apache 2.0 license for the database
» more

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GreptimeDBHawkular MetricsYaacomoYugabyteDB
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