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DBMS > Amazon CloudSearch vs. CockroachDB vs. Faircom EDGE vs. IBM Db2 Event Store vs. Lovefield

System Properties Comparison Amazon CloudSearch vs. CockroachDB vs. Faircom EDGE vs. IBM Db2 Event Store vs. Lovefield

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCockroachDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsDistributed Event Store optimized for Internet of Things use casesEmbeddable relational database for web apps written in pure JavaScript
Primary database modelSearch engineRelational DBMSKey-value store
Relational DBMS
Event Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.cockroachlabs.comwww.faircom.com/­products/­faircom-edgewww.ibm.com/­products/­db2-event-storegoogle.github.io/­lovefield
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.cockroachlabs.com/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAmazonCockroach LabsFairCom CorporationIBMGoogle
Initial release20122015197920172014
Current release24.1.0, May 2024V3, October 20202.02.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercial infoRestricted, free version availablecommercial infofree developer edition availableOpen Source infoApache 2.0
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 languageGoANSI C, C++C and C++JavaScript
Server operating systemshostedLinux
macOS
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesdynamic schemaFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyesyes
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.noyesnono
Secondary indexesyes infoall search fields are automatically indexedyesyesnoyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLyes infoANSI SQL queriesyes infothrough the embedded Spark runtimeSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsHTTP APIJDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScript
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++yesno
TriggersnonoyesnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication using RAFTyes infoSynchronous and asynchronous realtime replication based on transaction logsActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing MemoryDB
User concepts infoAccess controlauthentication via encrypted signaturesRole-based access controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchCockroachDBFaircom EDGE infoformerly c-treeEDGEIBM Db2 Event StoreLovefield
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