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DBMS > Axibase vs. Hawkular Metrics vs. Ignite vs. Weaviate

System Properties Comparison Axibase vs. Hawkular Metrics vs. Ignite vs. Weaviate

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIgnite  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSTime Series DBMSKey-value store
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.hawkular.orgignite.apache.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideapacheignite.readme.io/­docsweaviate.io/­developers/­weaviate
DeveloperAxibase CorporationCommunity supported by Red HatApache Software FoundationWeaviate B.V.
Initial release2013201420152019
Current release15585Apache Ignite 2.61.19, May 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Java, .NetGo
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesnonoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query languagenoANSI-99 for query and DML statements, subset of DDLGraphQL is used as query language
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
HTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Go
Java
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnoyes (compute grid and cache interceptors can be used instead)no
Triggersyesyes infovia Hawkular Alertingyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
AxibaseHawkular MetricsIgniteWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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AxibaseHawkular MetricsIgniteWeaviate
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