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DBMS > Faircom EDGE vs. Hawkular Metrics vs. Microsoft Azure Table Storage vs. Warp 10

System Properties Comparison Faircom EDGE vs. Hawkular Metrics vs. Microsoft Azure Table Storage vs. Warp 10

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A Wide Column Store for rapid development using massive semi-structured datasetsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value store
Relational DBMS
Time Series DBMSWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.hawkular.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.warp10.io
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.warp10.io/­content/­02_Getting_started
DeveloperFairCom CorporationCommunity supported by Red HatMicrosoftSenX
Initial release1979201420122015
Current releaseV3, October 2020
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++JavaJava
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes
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.yesnonono
Secondary indexesyesnonono
SQL infoSupport of SQLyes infoANSI SQL queriesnonono
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP RESTRESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Go
Java
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++nonoyes infoWarpScript
Triggersyesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningSharding infobased on CassandraSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor infobased on Cassandrayes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
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.yesnonoyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noAccess rights based on private key authentication or shared access signaturesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Faircom EDGE infoformerly c-treeEDGEHawkular MetricsMicrosoft Azure Table StorageWarp 10
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