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DBMS > Amazon DocumentDB vs. Apache Impala vs. RocksDB vs. TigerGraph

System Properties Comparison Amazon DocumentDB vs. Apache Impala vs. RocksDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Impala  Xexclude from comparisonRocksDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for HadoopEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeRelational DBMSKey-value storeGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websiteaws.amazon.com/­documentdbimpala.apache.orgrocksdb.orgwww.tigergraph.com
Technical documentationaws.amazon.com/­documentdb/­resourcesimpala.apache.org/­impala-docs.htmlgithub.com/­facebook/­rocksdb/­wikidocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFacebook, Inc.
Initial release2019201320132017
Current release4.1.0, June 20229.4.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemshostedLinuxLinuxLinux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language (GSQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
C++ API
Java API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBCC
C++
Go
Java
Perl
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoRole-based access control

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More resources
Amazon DocumentDBApache ImpalaRocksDBTigerGraph
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