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DBMS > EventStoreDB vs. LevelDB vs. MarkLogic vs. openGauss vs. Teradata Aster

System Properties Comparison EventStoreDB vs. LevelDB vs. MarkLogic vs. openGauss vs. Teradata Aster

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonLevelDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonopenGauss  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.
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOperational and transactional Enterprise NoSQL databaseAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiPlatform for big data analytics on multistructured data sources and types
Primary database modelEvent StoreKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitewww.eventstore.comgithub.com/­google/­leveldbwww.marklogic.comgitee.com/­opengauss
opengauss.org
Technical documentationdevelopers.eventstore.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.marklogic.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperEvent Store LimitedGoogleMarkLogic Corp.Huawei and openGauss communityTeradata
Initial release20122011200120192005
Current release21.2, February 20211.23, February 202111.0, December 20223.0, March 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoBSDcommercial inforestricted free version is availableOpen Sourcecommercial
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, C++, Java
Server operating systemsLinux
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
Windows
LinuxLinux
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 infoSQL92ANSI SQL 2011yes
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
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
C
C++
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptyesR packages
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationyes 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 transactionACIDACID
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 Indexesnono
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

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More resources
EventStoreDBLevelDBMarkLogicopenGaussTeradata Aster
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