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DBMS > Amazon Redshift vs. Derby vs. Google Cloud Bigtable vs. Hawkular Metrics

System Properties Comparison Amazon Redshift vs. Derby vs. Google Cloud Bigtable vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websiteaws.amazon.com/­redshiftdb.apache.org/­derbycloud.google.com/­bigtablewww.hawkular.org
Technical documentationdocs.aws.amazon.com/­redshiftdb.apache.org/­derby/­manuals/­index.htmlcloud.google.com/­bigtable/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationGoogleCommunity supported by Red Hat
Initial release2012199720152014
Current release10.17.1.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemshostedAll OS with a Java VMhostedLinux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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
Secondary indexesrestrictedyesnono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesnono
APIs and other access methodsJDBC
ODBC
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBCJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PythonJava Stored Proceduresnono
Triggersnoyesnoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Amazon RedshiftDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGoogle Cloud BigtableHawkular Metrics
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