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DBMS > c-treeACE vs. c-treeEDGE vs. Google Cloud Firestore vs. GridGain vs. H2

System Properties Comparison c-treeACE vs. c-treeEDGE vs. Google Cloud Firestore vs. GridGain vs. H2

Editorial information provided by DB-Engines
Namec-treeACE  Xexclude from comparisonc-treeEDGE  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonH2  Xexclude from comparison
DescriptionHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.Database built for IoT edge computing, which runs natively on ARM or x86 processors and on major IoT operating systems.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.GridGain is an in-memory computing platform, built on Apache IgniteFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelKey-value store
Relational DBMS
Key-value store
Relational DBMS
Document storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#208  Overall
#35  Key-value stores
#99  Relational DBMS
Score0.34
Rank#238  Overall
#41  Key-value stores
#113  Relational DBMS
Score6.61
Rank#51  Overall
#9  Document stores
Score1.71
Rank#121  Overall
#21  Key-value stores
#58  Relational DBMS
Score7.11
Rank#49  Overall
#29  Relational DBMS
Websitewww.faircom.com/­-products/­-c-treeacewww.faircom.com/­-products/­-c-treeedgefirebase.google.com/­products/­firestorewww.gridgain.comwww.h2database.com
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorylearn.faircomcorp.com/­developers/­documentation_directoryfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­latestwww.h2database.com/­html/­main.html
DeveloperFairCom CorporationFairCom CorporationGoogleGridGain Systems, Inc.Thomas Mueller
Initial release19791979201720072005
Current releaseV11.5, November 2017V1, Juni 2018GridGain 8.5.11.4.200, October 2019
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercial infoRestricted, free version availablecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++ANSI C, C++Java, C++, .NetJava
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Android
Linux
Raspbian
Windows infoeasily portable to other OSs
hostedLinux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyes, ANSI Standard SQL Typesyesyesyes
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.nononoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesyes infoANSI SQL queriesnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes info.Net, JavaScript, C/C++yes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)Java Stored Procedures and User-Defined Functions
Triggersyesyesyes, with Cloud Functionsyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningFile partitioning infoCustomizable business rules for partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoSynchronous and asynchronous realtime replication based on transaction logsMaster-master replicationyes (replicated cache)With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyes infowhen using SQLnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes infoacross SQL and NoSQLyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Security Hooks for custom implementationsfine grained access rights according to SQL-standard
More information provided by the system vendor
c-treeACEc-treeEDGEGoogle Cloud FirestoreGridGainH2
Specific characteristicsSpeed, reliability and consistency are the reasons businesses choose FairCom’s c-treeACE...
» more
The c-treeEDGE IoT Database is a fast, flexible solution with a robust architecture...
» more
Competitive advantagesTop Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
Top Features Micro footprint: As low as 37 MB IoT communication interfaces : MQTT,...
» more
Typical application scenariosc-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more
c-treeEDGE can be deployed at or near the data collection point (sensors) and used...
» more
Key customersVISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
New product
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
New product
» more
Licensing and pricing modelsJust as the technical aspects of c-treeACE are flexible to meet operation requirements,...
» more
Just as the technical aspects of c-treeEDGE are flexible to meet operation requirements,...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
c-treeACEc-treeEDGEGoogle Cloud FirestoreGridGainH2
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