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DBMS > Google Cloud Bigtable vs. Google Cloud Firestore vs. Ignite vs. Memcached

System Properties Comparison Google Cloud Bigtable vs. Google Cloud Firestore vs. Ignite vs. Memcached

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIgnite  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionGoogle'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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.In-memory key-value store, originally intended for caching
Primary database modelKey-value store
Wide column store
Document storeKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score7.85
Rank#51  Overall
#8  Document stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitecloud.google.com/­bigtablefirebase.google.com/­products/­firestoreignite.apache.orgwww.memcached.org
Technical documentationcloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestoreapacheignite.readme.io/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperGoogleGoogleApache Software FoundationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2015201720152003
Current releaseApache Ignite 2.61.6.25, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonoyes
Secondary indexesnoyesyesno
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
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
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes, with Cloud Functionsyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationyes (replicated cache)none infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesUsing Cloud Dataflowyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess 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.Security Hooks for custom implementationsyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Google Cloud BigtableGoogle Cloud FirestoreIgniteMemcached
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