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DBMS > Hawkular Metrics vs. HugeGraph vs. Prometheus vs. ScyllaDB vs. SpaceTime

System Properties Comparison Hawkular Metrics vs. HugeGraph vs. Prometheus vs. ScyllaDB vs. SpaceTime

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHugeGraph  Xexclude from comparisonPrometheus  Xexclude from comparisonScyllaDB  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fast-speed and highly-scalable Graph DBMSOpen-source Time Series DBMS and monitoring systemCassandra and DynamoDB compatible wide column storeSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelTime Series DBMSGraph DBMSTime Series DBMSWide column storeSpatial DBMS
Secondary database modelsKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitewww.hawkular.orggithub.com/­hugegraph
hugegraph.apache.org
prometheus.iowww.scylladb.comwww.mireo.com/­spacetime
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehugegraph.apache.org/­docsprometheus.io/­docsdocs.scylladb.com
DeveloperCommunity supported by Red HatBaiduScyllaDBMireo
Initial release20142018201520152020
Current release0.9ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license availablecommercial
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.
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Implementation languageJavaJavaGoC++C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
Linux
Windows
LinuxLinux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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 infoImport of XML data possiblenono
Secondary indexesnoyes infoalso supports composite index and range indexnoyes infocluster global secondary indicesno
SQL infoSupport of SQLnononoSQL-like DML and DDL statements (CQL)A subset of ANSI SQL is implemented
APIs and other access methodsHTTP RESTJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
RESTful HTTP API
Supported programming languagesGo
Java
Python
Ruby
Groovy
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C#
C++
Python
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnoyes, Luano
Triggersyes infovia Hawkular Alertingnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoby Federationselectable replication factor infoRepresentation of geographical distribution of servers is possibleReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencynoneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoin-memory tablesno
User concepts infoAccess controlnoUsers, roles and permissionsnoAccess rights for users can be defined per objectyes
More information provided by the system vendor
Hawkular MetricsHugeGraphPrometheusScyllaDBSpaceTime
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
Hawkular MetricsHugeGraphPrometheusScyllaDBSpaceTime
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