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DBMS > Amazon CloudSearch vs. Amazon Neptune vs. EDB Postgres vs. Faircom DB

System Properties Comparison Amazon CloudSearch vs. Amazon Neptune vs. EDB Postgres vs. Faircom DB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFast, reliable graph database built for the cloudThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.
Primary database modelSearch engineGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score2.18
Rank#122  Overall
#59  Relational DBMS
Score0.24
Rank#311  Overall
#44  Key-value stores
#140  Relational DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­neptunewww.enterprisedb.comwww.faircom.com/­products/­faircom-db
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­neptune/­developer-resourceswww.enterprisedb.com/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html
DeveloperAmazonAmazonEnterpriseDBFairCom Corporation
Initial release2012201720051979
Current release14, December 2021V12, November 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBSD for PostgreSQL-componentscommercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCANSI C, C++
Server operating systemshostedhostedLinux
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Data schemeyesschema-freeyesschema free, schema optional, schema required, partial schema,
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI SQL Types, JSON, typed binary structures
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyes infoall search fields are automatically indexednoyesyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsyes, ANSI SQL with proprietary extensions
APIs and other access methodsHTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes info.Net, JavaScript, C/C++
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonehorizontal partitioning infoby hash, list or rangeFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replicationyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDtunable from ACID to Eventually Consistent
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesYes, tunable from durable to delayed durability to in-memory
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardFine grained access rights according to SQL-standard with additional protections for files

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More resources
Amazon CloudSearchAmazon NeptuneEDB PostgresFaircom DB infoformerly c-treeACE
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