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DBMS > Hypertable vs. JaguarDB vs. Solr vs. SpaceTime vs. Sqrrl

System Properties Comparison Hypertable vs. JaguarDB vs. Solr vs. SpaceTime vs. Sqrrl

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonJaguarDB  Xexclude from comparisonSolr  Xexclude from comparisonSpaceTime  Xexclude from comparisonSqrrl  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopPerformant, highly scalable DBMS for AI and IoT applicationsA 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 modelWide column storeKey-value store
Vector DBMS
Search 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
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitewww.jaguardb.comsolr.apache.orgwww.mireo.com/­spacetimesqrrl.com
Technical documentationwww.jaguardb.com/­support.htmlsolr.apache.org/­resources.html
DeveloperHypertable Inc.DataJaguar, Inc.Apache Software FoundationMireoAmazon infooriginally Sqrrl Data, Inc.
Initial release20092015200620202012
Current release0.9.8.11, March 20163.3 July 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoGPL V3.0Open 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 languageC++C++ infothe server part. Clients available in other languagesJavaC++Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or datenoyesyes 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.noyesno
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSolr Parallel SQL InterfaceA subset of ANSI SQL is implementedno
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
Java API
RESTful HTTP/JSON API
RESTful HTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.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 proceduresnonoJava pluginsnono
Triggersnonoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingFixed-grid hypercubesSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replicationyesReal-time block device replication (DRBD)selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic 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.noyesno
User concepts infoAccess controlnorights management via user accountsyesyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
HypertableJaguarDBSolrSpaceTimeSqrrl
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