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DBMS > Heroic vs. HyperSQL vs. Oracle Berkeley DB vs. Solr

System Properties Comparison Heroic vs. HyperSQL vs. Oracle Berkeley DB vs. Solr

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBWidely used in-process key-value storeA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelTime Series DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­spotify/­heroichsqldb.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsolr.apache.org
Technical documentationspotify.github.io/­heroichsqldb.org/­web/­hsqlDocsFrame.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsolr.apache.org/­resources.html
DeveloperSpotifyOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software Foundation
Initial release2014200119942006
Current release2.7.2, June 202318.1.40, May 20209.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infobased on BSD licenseOpen Source infocommercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyes infosupports customizable data types and automatic typing
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.nonoyes infoonly with the Berkeley DB XML editionyes
Secondary indexesyes infovia Elasticsearchyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesyes infoSQL interfaced based on SQLite is availableSolr Parallel SQL Interface
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC
Java
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava, SQLnoJava plugins
Triggersnoyesyes infoonly for the SQL APIyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes

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More resources
HeroicHyperSQL infoalso known as HSQLDBOracle Berkeley DBSolr
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