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DBMS > Amazon SimpleDB vs. Apache Impala vs. GridGain vs. Manticore Search

System Properties Comparison Amazon SimpleDB vs. Apache Impala vs. GridGain vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonGridGain  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAnalytic DBMS for HadoopGridGain is an in-memory computing platform, built on Apache IgniteMulti-storage database for search, including full-text search.
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
Search engine
Secondary database modelsDocument storeTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Websiteaws.amazon.com/­simpledbimpala.apache.orgwww.gridgain.commanticoresearch.com
Technical documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmlwww.gridgain.com/­docs/­index.htmlmanual.manticoresearch.com
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaGridGain Systems, Inc.Manticore Software
Initial release2007201320072017
Current release4.1.0, June 2022GridGain 8.5.16.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetC++
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesyesFixed schema
Typing infopredefined data types such as float or datenoyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.noyesCan index from XML
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCC#
C++
Java
PHP
Python
Ruby
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)user defined functions
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes (replicated cache)Synchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and KerberosSecurity Hooks for custom implementationsno

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More resources
Amazon SimpleDBApache ImpalaGridGainManticore Search
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