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DBMS > Elasticsearch vs. Hawkular Metrics vs. HugeGraph vs. IBM Db2 Event Store

System Properties Comparison Elasticsearch vs. Hawkular Metrics vs. HugeGraph vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricHawkular 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 DBMSDistributed Event Store optimized for Internet of Things use cases
Primary database modelSearch engineTime Series DBMSGraph DBMSEvent Store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.elastic.co/­elasticsearchwww.hawkular.orggithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2-event-store
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehugegraph.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperElasticCommunity supported by Red HatBaiduIBM
Initial release2010201420182017
Current release8.6, January 20230.92.0
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC and C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
macOS
Unix
Linux infoLinux, macOS, Windows for the developer addition
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes
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 indexesyes infoAll search fields are automatically indexednoyes infoalso supports composite index and range indexno
SQL infoSupport of SQLSQL-like query languagenonoyes infothrough the embedded Spark runtime
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP RESTJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
Groovy
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesnoasynchronous Gremlin script jobsyes
Triggersyes infoby using the 'percolation' featureyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBaseActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyesyes
User concepts infoAccess controlnoUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
ElasticsearchHawkular MetricsHugeGraphIBM Db2 Event Store
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