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DBMS > Hawkular Metrics vs. ITTIA vs. Quasardb vs. QuestDB vs. Realm

System Properties Comparison Hawkular Metrics vs. ITTIA vs. Quasardb vs. QuestDB vs. Realm

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonITTIA  Xexclude from comparisonQuasardb  Xexclude from comparisonQuestDB  Xexclude from comparisonRealm  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 ProcessingDistributed, high-performance timeseries databaseA high performance open source SQL database for time series dataA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMSRelational DBMS
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
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitewww.hawkular.orgwww.ittia.comquasar.aiquestdb.iorealm.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedoc.quasar.ai/­masterquestdb.io/­docsrealm.io/­docs
DeveloperCommunity supported by Red HatITTIA L.L.C.quasardbQuestDB Technology IncRealm, acquired by MongoDB in May 2019
Initial release20142007200920142014
Current release8.73.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++Java (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeFixed schemaschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes infointeger and binaryyesyes
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.nonononono
Secondary indexesnoyesyes infowith tagsnoyes
SQL infoSupport of SQLnoyesSQL-like query languageSQL with time-series extensionsno
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
WebSocket
HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesGo
Java
Python
Ruby
C
C++
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoyesnonono inforuns within the applications so server-side scripts are unnecessary
Triggersyes infovia Hawkular Alertingnononoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoconsistent hashinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesSource-replica replication with selectable replication factorSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyes infothrough memory mapped filesyes infoIn-Memory realm
User concepts infoAccess controlnoDatabase file passwordsCryptographically strong user authentication and audit trailyes
More information provided by the system vendor
Hawkular MetricsITTIAQuasardbQuestDBRealm
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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