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DBMS > Faircom DB vs. Google Cloud Firestore vs. Manticore Search

System Properties Comparison Faircom DB vs. Google Cloud Firestore vs. Manticore Search

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Multi-storage database for search, including full-text search.
Primary database modelKey-value store
Relational DBMS
Document storeSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#272  Overall
#41  Key-value stores
#126  Relational DBMS
Score9.25
Rank#52  Overall
#10  Document stores
Score0.08
Rank#323  Overall
#20  Search engines
Websitewww.faircom.com/­products/­faircom-dbfirebase.google.com/­products/­firestoremanticoresearch.com
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directoryfirebase.google.com/­docs/­firestoremanual.manticoresearch.com
DeveloperFairCom CorporationGoogleManticore Software
Initial release197920172017
Current releaseV12, November 20204.2, December 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
hostedFreeBSD
Linux
macOS
Windows
Data schemeschema free, schema optional, schema required, partial schema,schema-freeFixed schema
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesInt, 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.nonoCan index from XML
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsnoSQL-like query language
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes, Firebase Rules & Cloud Functionsuser defined functions
Triggersyesyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, 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 replicationSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually Consistentyesyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyes 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.yes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no
More information provided by the system vendor
Faircom DB infoformerly c-treeACEGoogle Cloud FirestoreManticore Search
Specific characteristicsAchieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
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Competitive advantagesTop Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
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Typical application scenariosReal-time transaction processing solutions leverage FairCom DB because its NoSQL...
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Key customersMicrosoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
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Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
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Licensing and pricing modelsJust as the technical aspects of FairCom DB are flexible to meet operation requirements,...
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Faircom DB infoformerly c-treeACEGoogle Cloud FirestoreManticore Search
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