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DBMS > Faircom DB vs. Hawkular Metrics vs. KairosDB vs. LokiJS vs. Microsoft Azure Synapse Analytics

System Properties Comparison Faircom DB vs. Hawkular Metrics vs. KairosDB vs. LokiJS vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKairosDB  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed Time Series DBMS based on Cassandra or H2In-memory JavaScript DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value store
Relational DBMS
Time Series DBMSTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.hawkular.orggithub.com/­kairosdb/­kairosdbgithub.com/­techfort/­LokiJSazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidekairosdb.github.iotechfort.github.io/­LokiJSdocs.microsoft.com/­azure/­synapse-analytics
DeveloperFairCom CorporationCommunity supported by Red HatMicrosoft
Initial release19792014201320142016
Current releaseV12, November 20201.2.2, November 2018
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache 2.0Open Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++JavaJavaJavaScriptC++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeschema free, schema optional, schema required, partial schema,schema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesnoyes
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.nonononono
Secondary indexesyesnonoyes infovia viewsyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsnononoyes
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HTTP RESTGraphite protocol
HTTP REST
Telnet API
JavaScript APIADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Go
Java
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
JavaScriptC#
Java
PHP
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++nonoView functions in JavaScriptTransact SQL
Triggersyesyes infovia Hawkular Alertingnoyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infobased on CassandraSharding infobased on CassandranoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).selectable replication factor infobased on Cassandraselectable replication factor infobased on Cassandranoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate Consistency
Foreign keys infoReferential integrityyesnononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually Consistentnonono infoatomic operations within a single collection possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
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 access rights according to SQL-standard with additional protections for filesnosimple password-based access controlnoyes

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More resources
Faircom DB infoformerly c-treeACEHawkular MetricsKairosDBLokiJSMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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