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DBMS > Hawkular Metrics vs. Ignite vs. InfinityDB vs. Interbase vs. Newts

System Properties Comparison Hawkular Metrics vs. Ignite vs. InfinityDB vs. Interbase vs. Newts

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparisonInterbase  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionHawkular 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.A Java embedded Key-Value Store which extends the Java Map interfaceLight-weight proven RDBMS infooriginally from BorlandTime Series DBMS based on Cassandra
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.hawkular.orgignite.apache.orgboilerbay.comwww.embarcadero.com/­products/­interbaseopennms.github.io/­newts
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manualdocs.embarcadero.com/­products/­interbasegithub.com/­OpenNMS/­newts/­wiki
DeveloperCommunity supported by Red HatApache Software FoundationBoiler Bay Inc.EmbarcaderoOpenNMS Group
Initial release20142015200219842014
Current releaseApache Ignite 2.64.0InterBase 2020, December 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetJavaCJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VMAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.noyesnono infoexport as XML data possibleno
Secondary indexesnoyesno infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyesno
APIs and other access methodsHTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
HTTP REST
Java API
Supported programming languagesGo
Java
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Java.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noyes infoInterbase procedure and trigger languageno
Triggersyes infovia Hawkular Alertingyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnonenoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes (replicated cache)noneInterbase Change Viewsselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
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.noyesnoyesno
User concepts infoAccess controlnoSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standardno

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More resources
Hawkular MetricsIgniteInfinityDBInterbaseNewts
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