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DBMS > Apache Doris vs. Derby vs. Hawkular Metrics vs. Lovefield vs. Splice Machine

System Properties Comparison Apache Doris vs. Derby vs. Hawkular Metrics vs. Lovefield vs. Splice Machine

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLovefield  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.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 JavaScriptOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
db.apache.org/­derbywww.hawkular.orggoogle.github.io/­lovefieldsplicemachine.com
Technical documentationgithub.com/­apache/­doris/­wikidb.apache.org/­derby/­manuals/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsplicemachine.com/­how-it-works
DeveloperApache Software Foundation, originally contributed from BaiduApache Software FoundationCommunity supported by Red HatGoogleSplice Machine
Initial release20171997201420142014
Current release1.2.2, February 202310.17.1.0, November 20232.1.12, February 20173.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJavaScriptJava
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyesyesnoSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsJDBC
MySQL client
JDBCHTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaJavaGo
Java
Python
Ruby
JavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresnonoyes infoJava
Triggersnoyesyes infovia Hawkular AlertingUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infobased on CassandranoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on CassandranoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infousing MemoryDByes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DorisDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHawkular MetricsLovefieldSplice Machine
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