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DBMS > HyperSQL vs. Newts vs. Solr vs. SpaceTime vs. Sqrrl

System Properties Comparison HyperSQL vs. Newts vs. Solr vs. SpaceTime vs. Sqrrl

Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonNewts  Xexclude from comparisonSolr  Xexclude from comparisonSpaceTime  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBTime Series DBMS based on CassandraA widely used distributed, scalable search engine based on Apache LuceneSpaceTime is a spatio-temporal DBMS with a focus on performance.Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSTime Series DBMSSearch engineSpatial DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitehsqldb.orgopennms.github.io/­newtssolr.apache.orgwww.mireo.com/­spacetimesqrrl.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlgithub.com/­OpenNMS/­newts/­wikisolr.apache.org/­resources.html
DeveloperOpenNMS GroupApache Software FoundationMireoAmazon infooriginally Sqrrl Data, Inc.
Initial release20012014200620202012
Current release2.7.2, June 20239.6.1, May 2024
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoApache 2.0Open Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++Java
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyesyes
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.nonoyesno
Secondary indexesyesnoyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLyesnoSolr Parallel SQL InterfaceA subset of ANSI SQL is implementedno
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP REST
Java API
Java API
RESTful HTTP/JSON API
RESTful HTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC
Java
Java.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
C++
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresJava, SQLnoJava pluginsnono
Triggersyesnoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingFixed-grid hypercubesSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandrayesReal-time block device replication (DRBD)selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingnoAtomic updates per row, document, or graph entity
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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
HyperSQL infoalso known as HSQLDBNewtsSolrSpaceTimeSqrrl
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