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DBMS > LevelDB vs. Microsoft Azure Table Storage vs. OpenEdge vs. Spark SQL

System Properties Comparison LevelDB vs. Microsoft Azure Table Storage vs. OpenEdge vs. Spark SQL

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgespark.apache.org/­sql
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGoogleMicrosoftProgress Software CorporationApache Software Foundation
Initial release2011201219842014
Current release1.23, February 2021OpenEdge 12.2, March 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSDcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Scala
Server operating systemsIllumos
Linux
OS X
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
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.nonoyesno
Secondary indexesnonoyesno
SQL infoSupport of SQLnonoyes infoclose to SQL 92SQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDno
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.nonono
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesUsers and groupsno

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More resources
LevelDBMicrosoft Azure Table StorageOpenEdgeSpark SQL
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