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DBMS > Aerospike vs. Google Cloud Firestore vs. Tarantool

System Properties Comparison Aerospike vs. Google Cloud Firestore vs. Tarantool

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Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseCloud 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.In-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Vector DBMS
Document storeDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.16
Rank#63  Overall
#10  Document stores
#3  Graph DBMS
#7  Key-value stores
#2  Spatial DBMS
#2  Vector DBMS
Score6.63
Rank#54  Overall
#9  Document stores
Score1.63
Rank#139  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Websiteaerospike.comfirebase.google.com/­products/­firestorewww.tarantool.io
Technical documentationdocs.aerospike.comfirebase.google.com/­docs/­firestorewww.tarantool.io/­en/­doc
Social network pagesLinkedInTwitterFacebookYouTube
DeveloperAerospikeGoogleVK
Initial release201220172008
Current release7.1, May 20242.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++
Server operating systemsLinuxhostedBSD
Linux
macOS
Data schemeschema-freeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoFull-featured ANSI SQL support
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Open binary protocol
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infowith Luayes, Firebase Rules & Cloud FunctionsLua, C and SQL stored procedures
Triggersnoyes, with Cloud Functionsyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/ReduceUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsyesACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
More information provided by the system vendor
Aerospike infopreviously called CitrusleafGoogle Cloud FirestoreTarantool
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» more
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» more
News

Aerospike Year-over-Year Recurring Revenue Soars by 51% as Demand for AI Rises
4 September 2024

Aerospike Named to Inc. 5000 List of Fastest-Growing Companies in America for Third Consecutive Year
20 August 2024

BSV Association and Aerospike Achieve 100 Billion BSV Blockchain Transactions Per Day on Teranode
30 July 2024

Aerospike Appoints Venkatesh Guntur as Country Head for Southeast Asia
25 June 2024

Aerospike, AWS, Google, Glean, and other Industry Leaders Speaking at Real-time Data Summit 2024
5 June 2024

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

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More resources
Aerospike infopreviously called CitrusleafGoogle Cloud FirestoreTarantool
DB-Engines blog posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
17 March 2020,  Srini Srinivasan, Aerospike (sponsor) 

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

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Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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Recent citations in the news

Aerospike today is uniquely suited to handle AI/ML workloads claims Khushal Bhansali, Country Manager – India & South Asia, Aerospike
19 September 2024, APAC News Network

Aerospike Cloud: Scalable Real-time Database-as-a-Service with AWS SaaS Factory Support
5 July 2024, AWS Blog

Aerospike Year-over-Year Recurring Revenue Soars by 51% as Demand for AI Rises
5 September 2024, Datanami

Aerospike raises $109M for its real-time database platform to capitalize on the AI boom
4 April 2024, TechCrunch

Aerospike set to grow real time database for AI with $109M raise
4 April 2024, VentureBeat

provided by Google News

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

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

Google launches Firebase Genkit, a new open source framework for building AI-powered apps
14 May 2024, TechCrunch

NoSQL on the Cloud With Python
7 August 2020, Towards Data Science

Spring Boot Tutorial: Building Microservices Deployed to Google Cloud
26 March 2020, InfoQ.com

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Deploying Tarantool Cartridge applications with zero effort (Part 1)
16 December 2019, Хабр

VShard — horizontal scaling in Tarantool
7 March 2019, Хабр

Tarantool Data Grid: Architecture and Features
16 October 2019, Хабр

Accelerating PHP connectors for Tarantool using Async, Swoole, and Parallel
18 December 2019, Хабр

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