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DBMS > Apache Drill vs. Microsoft Azure Cosmos DB vs. RocksDB vs. Tkrzw

System Properties Comparison Apache Drill vs. Microsoft Azure Cosmos DB vs. RocksDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRocksDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageGlobally distributed, horizontally scalable, multi-model database serviceEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Key-value storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitedrill.apache.orgazure.microsoft.com/­services/­cosmos-dbrocksdb.orgdbmx.net/­tkrzw
Technical documentationdrill.apache.org/­docslearn.microsoft.com/­azure/­cosmos-dbgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software FoundationMicrosoftFacebook, Inc.Mikio Hirabayashi
Initial release2012201420132020
Current release1.20.3, January 20238.11.4, April 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSDOpen Source infoApache Version 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++C++
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
macOS
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typesnono
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.nonono
Secondary indexesnoyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
C++ API
Java API
Supported programming languagesC++.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsJavaScriptnono
TriggersnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes infousing specific database classes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights can be defined down to the item levelnono

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Apache DrillMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRocksDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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