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DBMS > Amazon Redshift vs. Hawkular Metrics vs. SAP SQL Anywhere vs. Sequoiadb vs. Spark SQL

System Properties Comparison Amazon Redshift vs. Hawkular Metrics vs. SAP SQL Anywhere vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.hawkular.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­redshiftwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehelp.sap.com/­docs/­SAP_SQL_Anywherewww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazon (based on PostgreSQL)Community supported by Red HatSAP infoformerly SybaseSequoiadb Ltd.Apache Software Foundation
Initial release20122014199220132014
Current release17, July 20153.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++Scala
Server operating systemshostedLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexyes
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.nonoyesnono
Secondary indexesrestrictednoyesyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyesSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
HTTP RESTADO.NET
HTTP API
JDBC
ODBC
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes, in C/C++, Java, .Net or PerlJavaScriptno
Triggersnoyes infovia Hawkular Alertingyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraSource-replica replication infoDatabase mirroringSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardsimple password-based access controlno

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More resources
Amazon RedshiftHawkular MetricsSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSequoiadbSpark SQL
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