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DBMS > LevelDB vs. Microsoft Azure Synapse Analytics vs. Percona Server for MongoDB vs. Percona Server for MySQL vs. Spark SQL

System Properties Comparison LevelDB vs. Microsoft Azure Synapse Analytics vs. Percona Server for MongoDB vs. Percona Server for MySQL vs. Spark SQL

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSDocument 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
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­google/­leveldbazure.microsoft.com/­services/­synapse-analyticswww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.percona.com/­software/­mysql-database/­percona-serverspark.apache.org/­sql
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.microsoft.com/­azure/­synapse-analyticsdocs.percona.com/­percona-distribution-for-mongodbwww.percona.com/­downloads/­Percona-Server-LATESTspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGoogleMicrosoftPerconaPerconaApache Software Foundation
Initial release20112016201520082014
Current release1.23, February 20213.4.10-2.10, November 20178.0.36-28, 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoGPL Version 2Open Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++C and C++Scala
Server operating systemsIllumos
Linux
OS X
Windows
hostedLinuxLinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesnoyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
proprietary protocol using JSONADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
PHP
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoTransact SQLJavaScriptyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationMulti-source replication
Source-replica replication
XtraDB Cluster
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovia In-Memory Engineyesno
User concepts infoAccess controlnoyesAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
LevelDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePercona Server for MongoDBPercona Server for MySQLSpark SQL
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