DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Altibase vs. Cachelot.io vs. Google Cloud Bigtable vs. Google Cloud Firestore

System Properties Comparison Altibase vs. Cachelot.io vs. Google Cloud Bigtable vs. Google Cloud Firestore

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonCachelot.io  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSIn-memory caching systemGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.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.
Primary database modelRelational DBMSKey-value storeKey-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.04
Rank#388  Overall
#62  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score7.36
Rank#53  Overall
#9  Document stores
Websitealtibase.comcachelot.iocloud.google.com/­bigtablefirebase.google.com/­products/­firestore
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualscloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestore
DeveloperAltibaseGoogleGoogle
Initial release1999201520152017
Current releasev7.3, 2023, August 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoSimplified BSD Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsAIX
HP-UX
Linux
FreeBSD
Linux
OS X
hostedhosted
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonoyes
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.nononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLANSI SQL-92nonono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Memcached protocolgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC
C++
Java
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnonoyes, Firebase Rules & Cloud Functions
Triggersyesnonoyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AltibaseCachelot.ioGoogle Cloud BigtableGoogle Cloud Firestore
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

Altibase is Adopted for Presence Service to Provide User Information and Online Presence
8 April 2019, PR Newswire

Altibase to Exhibit its ALTIBASE HDB™ In-Memory Database with Hybrid Architecture at Dell World 2013, December ...
4 December 2013, PR Web

In-memory OLAP Database Market Is Booming (CAGR of 24.95%) Worldwide | Terracotta, Altibase, Kognitio, Mcobject ...
26 October 2018, openPR

Daegu Government Integrated Data Center to Propose Open-Source Database Management Systems for Tenant ...
14 April 2021, Etnews

South Korean company to provide database solution to Mobicom
10 April 2020, UB Post

provided by Google News

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

Google introduces Cloud Bigtable managed NoSQL database to process data at scale
6 May 2015, VentureBeat

Google Launches Cloud Bigtable, A Highly Scalable And Performant NoSQL Database
6 May 2015, TechCrunch

provided by Google News

Realtime vs Cloud Firestore: Which Firebase Database to go?
8 March 2024, Appinventiv

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

Google's Cloud-Native NoSQL Database Cloud Firestore Is Now Generally Available
8 February 2019, InfoQ.com

Firestore and Python | NoSQL on Google Cloud
7 August 2020, Towards Data Science

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here