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DBMS > Derby vs. GigaSpaces vs. Google BigQuery vs. Hawkular Metrics vs. Prometheus

System Properties Comparison Derby vs. GigaSpaces vs. Google BigQuery vs. Hawkular Metrics vs. Prometheus

Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsLarge scale data warehouse service with append-only tablesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitedb.apache.org/­derbywww.gigaspaces.comcloud.google.com/­bigquerywww.hawkular.orgprometheus.io
Technical documentationdb.apache.org/­derby/­manuals/­index.htmldocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­bigquery/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docs
DeveloperApache Software FoundationGigaspaces TechnologiesGoogleCommunity supported by Red Hat
Initial release19972000201020142015
Current release10.17.1.0, November 202315.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetJavaGo
Server operating systemsAll OS with a Java VMLinux
macOS
Solaris
Windows
hostedLinux
OS X
Windows
Linux
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric data only
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.yesno infoXML can be used for describing objects metadatanonono infoImport of XML data possible
Secondary indexesyesyesnonono
SQL infoSupport of SQLyesSQL-99 for query and DML statementsyesnono
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIHTTP RESTRESTful HTTP/JSON API
Supported programming languagesJava.Net
C++
Java
Python
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresyesuser defined functions infoin JavaScriptnono
Triggersyesyes, event driven architecturenoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on Cassandrayes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoSince BigQuery is designed for querying datanono
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.yesyesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nono

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More resources
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGigaSpacesGoogle BigQueryHawkular MetricsPrometheus
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