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DBMS > Amazon CloudSearch vs. Faircom DB vs. Informix vs. Percona Server for MongoDB vs. Splice Machine

System Properties Comparison Amazon CloudSearch vs. Faircom DB vs. Informix vs. Percona Server for MongoDB vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonInformix  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSearch engineKey-value store
Relational DBMS
Relational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.faircom.com/­products/­faircom-dbwww.ibm.com/­products/­informixwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsplicemachine.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.percona.com/­percona-distribution-for-mongodbsplicemachine.com/­how-it-works
DeveloperAmazonFairCom CorporationIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.PerconaSplice Machine
Initial release20121979198420152014
Current releaseV12, November 202014.10.FC5, November 20203.4.10-2.10, November 20173.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercial infofree developer edition availableOpen Source infoGPL Version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C, C++ and JavaC++Java
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
AIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeyesschema free, schema optional, schema required, partial schema,yesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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.nono
Secondary indexesyes infoall search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsyesnoyes
APIs and other access methodsHTTP APIADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
proprietary protocol using JSONJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesJavaScriptyes infoJava
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually ConsistentACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovia In-Memory Engineyes
User concepts infoAccess controlauthentication via encrypted signaturesFine grained access rights according to SQL-standard with additional protections for filesUsers with fine-grained authentication, authorization, and auditing controlsAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon CloudSearchFaircom DB infoformerly c-treeACEInformixPercona Server for MongoDBSplice Machine
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