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DBMS > Amazon CloudSearch vs. Faircom DB vs. Oracle Berkeley DB vs. TigerGraph

System Properties Comparison Amazon CloudSearch vs. Faircom DB vs. Oracle Berkeley DB vs. TigerGraph

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTigerGraph  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.Widely used in-process key-value storeA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSearch engineKey-value store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
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
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­cloudsearchwww.faircom.com/­products/­faircom-dbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.tigergraph.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.tigergraph.com
DeveloperAmazonFairCom CorporationOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2012197919942017
Current releaseV12, November 202018.1.40, May 2020
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infocommercial license availablecommercial
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 languageANSI C, C++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesschema free, schema optional, schema required, partial schema,schema-freeyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresnoyes
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 infoonly with the Berkeley DB XML editionno
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsyes infoSQL interfaced based on SQLite is availableSQL-like query language (GSQL)
APIs and other access methodsHTTP APIADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++noyes
Triggersnoyesyes infoonly for the SQL APIno
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 partitioningnone
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).Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually ConsistentACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlauthentication via encrypted signaturesFine grained access rights according to SQL-standard with additional protections for filesnoRole-based access control

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More resources
Amazon CloudSearchFaircom DB infoformerly c-treeACEOracle Berkeley DBTigerGraph
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