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DBMS > LevelDB vs. OrigoDB vs. Sadas Engine vs. Solr vs. Teradata Aster

System Properties Comparison LevelDB vs. OrigoDB vs. Sadas Engine vs. Solr vs. Teradata Aster

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSolr  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA fully ACID in-memory object graph databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA widely used distributed, scalable search engine based on Apache LucenePlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeDocument store
Object oriented DBMS
Relational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­google/­leveldborigodb.comwww.sadasengine.comsolr.apache.org
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdorigodb.com/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsolr.apache.org/­resources.html
DeveloperGoogleRobert Friberg et alSADAS s.r.l.Apache Software FoundationTeradata
Initial release20112009 infounder the name LiveDB200620062005
Current release1.23, February 20218.09.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoBSDOpen Sourcecommercial infofree trial version availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#C++Java
Server operating systemsIllumos
Linux
OS X
Windows
Linux
Windows
AIX
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoUser defined using .NET types and collectionsyesyes infosupports customizable data types and automatic typingyes
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.nono infocan be achieved using .NETnoyesyes infoin Aster File Store
Secondary indexesnoyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoyesSolr Parallel SQL Interfaceyes
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
ODBC
Proprietary protocol
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesnoJava pluginsR packages
Triggersnoyes infoDomain Eventsnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynodepending on modelyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'yesno
User concepts infoAccess controlnoRole based authorizationAccess rights for users, groups and roles according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
LevelDBOrigoDBSadas EngineSolrTeradata Aster
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