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DBMS > FeatureBase vs. Hawkular Metrics vs. Lovefield vs. SAP SQL Anywhere vs. Sequoiadb

System Properties Comparison FeatureBase vs. Hawkular Metrics vs. Lovefield vs. SAP SQL Anywhere vs. Sequoiadb

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLovefield  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Embeddable relational database for web apps written in pure JavaScriptRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitewww.featurebase.comwww.hawkular.orggoogle.github.io/­lovefieldwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.sequoiadb.com
Technical documentationdocs.featurebase.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdhelp.sap.com/­docs/­SAP_SQL_Anywherewww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperMolecula and Pilosa Open Source ContributorsCommunity supported by Red HatGoogleSAP infoformerly SybaseSequoiadb Ltd.
Initial release20172014201419922013
Current release2022, May 20222.1.12, February 201717, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaScriptC++
Server operating systemsLinux
macOS
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infooid, date, timestamp, binary, regex
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.nononoyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSQL queriesnoSQL-like query language infovia JavaScript builder patternyesSQL-like query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP RESTADO.NET
HTTP API
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesJava
Python
Go
Java
Python
Ruby
JavaScriptC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes, in C/C++, Java, .Net or PerlJavaScript
Triggersnoyes infovia Hawkular AlertingUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandranoneSource-replica replication infoDatabase mirroringSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDByesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standardsimple password-based access control

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More resources
FeatureBaseHawkular MetricsLovefieldSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSequoiadb
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