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DBMS > LevelDB vs. MarkLogic vs. Sadas Engine vs. Teradata Aster

System Properties Comparison LevelDB vs. MarkLogic vs. Sadas Engine vs. Teradata Aster

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  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 valuesOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.90
Rank#98  Overall
#17  Key-value stores
Score9.43
Rank#49  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score0.00
Rank#351  Overall
#146  Relational DBMS
Websitegithub.com/­google/­leveldbwww.marklogic.comwww.sadasengine.com
Technical documentationgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mddocs.marklogic.comwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperGoogleMarkLogic Corp.SADAS s.r.l.Teradata
Initial release2011200120062005
Current release1.23, February 20219.0, 20178.0
License infoCommercial or Open SourceOpen Source infoBSDcommercial inforestricted free version is availablecommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemsIllumos
Linux
OS X
Windows
Linux
OS X
Windows
AIX
Linux
Windows
Linux
Data schemeschema-freeschema-free infoSchema can be enforcedyesFlexible 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 datenoyesyesyes
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.noyesnoyes infoin Aster File Store
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoSQL92yesyes
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnoR packages
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneyes 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 methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
LevelDBMarkLogicSadas EngineTeradata Aster
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesThe main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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More resources
LevelDBMarkLogicSadas EngineTeradata Aster
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