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DBMS > LevelDB vs. Microsoft Azure Cosmos DB vs. searchxml vs. Snowflake vs. TerarkDB

System Properties Comparison LevelDB vs. Microsoft Azure Cosmos DB vs. searchxml vs. Snowflake vs. TerarkDB

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSnowflake  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesGlobally distributed, horizontally scalable, multi-model database serviceDBMS for structured and unstructured content wrapped with an application serverCloud-based data warehousing service for structured and semi-structured dataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Native XML DBMS
Search engine
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­google/­leveldbazure.microsoft.com/­services/­cosmos-dbwww.searchxml.net/­category/­productswww.snowflake.comgithub.com/­bytedance/­terarkdb
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­azure/­cosmos-dbwww.searchxml.net/­support/­handoutsdocs.snowflake.net/­manuals/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGoogleMicrosoftinformationpartners gmbhSnowflake Computing Inc.ByteDance, originally Terark
Initial release20112014201520142016
Current release1.23, February 20211.0
License infoCommercial or Open SourceOpen Source infoBSDcommercialcommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsIllumos
Linux
OS X
Windows
hostedWindowshosted
Data schemeschema-freeschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or datenoyes infoJSON typesyesyesno
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.noyesyesno
Secondary indexesnoyes infoAll properties auto-indexed by defaultyesno
SQL infoSupport of SQLnoSQL-like query languagenoyesno
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API
WebDAV
XQuery
XSLT
CLI Client
JDBC
ODBC
C++ API
Java API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++ infomost other programming languages supported via APIsJavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnoJavaScriptyes infoon the application serveruser defined functionsno
TriggersnoJavaScriptnono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicenoneyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes infosychronisation to multiple collectionsyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionmultiple readers, single writerACIDno
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.nonoyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelDomain, group and role-based access control at the document level and for application servicesUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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More resources
LevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBsearchxmlSnowflakeTerarkDB
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