DBMS > Fauna vs. GigaSpaces vs. Microsoft Azure Data Explorer vs. Redis
System Properties Comparison Fauna vs. GigaSpaces vs. Microsoft Azure Data Explorer vs. Redis
Please select another system to include it in the comparison.
Editorial information provided by DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Name | Fauna previously named FaunaDB Xexclude from comparison | GigaSpaces Xexclude from comparison | Microsoft Azure Data Explorer Xexclude from comparison | Redis Xexclude from comparison | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure. | High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions | Fully managed big data interactive analytics platform | Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store Graph DBMS Relational DBMS Time Series DBMS | Document store Object oriented DBMS Values are user defined objects | Relational DBMS column oriented | Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Graph DBMS Search engine | Document store If a column is of type dynamic docs.microsoft.com/en-us/azure/kusto/query/scalar-data-types/dynamic then it's possible to add arbitrary JSON documents in this cell Event Store this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps) Spatial DBMS Search engine support for complex search expressions docs.microsoft.com/en-us/azure/kusto/query/parseoperator FTS, Geospatial docs.microsoft.com/en-us/azure/kusto/query/geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine Time Series DBMS see docs.microsoft.com/en-us/azure/data-explorer/time-series-analysis | Document store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Search engine with RediSearch Time Series DBMS with RedisTimeSeries Vector DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Website | fauna.com | www.gigaspaces.com | azure.microsoft.com/services/data-explorer | redis.com redis.io | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.fauna.com | docs.gigaspaces.com/latest/landing.html | docs.microsoft.com/en-us/azure/data-explorer | docs.redis.com/latest/index.html redis.io/docs | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Fauna, Inc. | Gigaspaces Technologies | Microsoft | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2014 | 2000 | 2019 | 2009 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 15.5, September 2020 | cloud service with continuous releases | 7.2.5, May 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial | Open Source Apache Version 2; Commercial licenses available | commercial | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | yes | no | yes | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | Scala | Java, C++, .Net | C | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | hosted | Linux macOS Solaris Windows | hosted | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | schema-free | Fixed schema with schema-less datatypes (dynamic) | schema-free | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | no | yes | yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/en-us/azure/kusto/query/scalar-data-types | partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | no XML can be used for describing objects metadata | yes | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | all fields are automatically indexed | yes with RediSearch module | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | SQL-99 for query and DML statements | Kusto Query Language (KQL), SQL subset | with RediSQL module | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | RESTful HTTP API | GigaSpaces LRMI Hibernate JCache JDBC JPA ODBC RESTful HTTP API Spring Data | Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API | proprietary protocol RESP - REdis Serialization Protocol | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C# Go Java JavaScript Python Ruby Scala Swift | .Net C++ Java Python Scala | .Net Go Java JavaScript (Node.js) PowerShell Python R | C C# C++ Clojure Crystal D Dart Elixir Erlang Fancy Go Haskell Haxe Java JavaScript (Node.js) Lisp Lua MatLab Objective-C OCaml Pascal Perl PHP Prolog Pure Data Python R Rebol Ruby Rust Scala Scheme Smalltalk Swift Tcl Visual Basic | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | user defined functions | yes | Yes, possible languages: KQL, Python, R | Lua; Redis Functions coming in Redis 7 (slides and Github) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | yes, event driven architecture | yes see docs.microsoft.com/en-us/azure/kusto/management/updatepolicy | publish/subscribe channels provide some trigger functionality; RedisGears | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | horizontal partitioning consistent hashing | Sharding | Sharding Implicit feature of the cloud service | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication | Multi-source replication synchronous or asynchronous Source-replica replication synchronous or asynchronous | yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant. | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | yes Map-Reduce pattern can be built with XAP task executors | Spark connector (open source): github.com/Azure/azure-kusto-spark | through RedisGears | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency | Immediate Consistency Consistency level configurable: ALL, QUORUM, ANY | Eventual Consistency Immediate Consistency | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | yes | no | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID | no | Atomic execution of command blocks and scripts and optimistic locking | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes Data access is serialized by the server | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes Configurable mechanisms for persistency via snapshots and/or operations logs | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | yes | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Identity management, authentication, and access control | Role-based access control | Azure Active Directory Authentication | Access Control Lists (ACLs): redis.io/docs/management/security/acl LDAP and Role-Based Access Control (RBAC) for Redis Enterprise Mutual TLS authentication: redis.io/docs/management/security/encryption Password-based authentication | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More information provided by the system vendorWe invite representatives of system vendors to contact us for updating and extending the system information, | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Related products and services | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3rd parties | Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface. » more CData: Connect to Big Data & NoSQL through standard Drivers. » more Redisson PRO: The ultra-fast Redis Java Client. » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
We invite representatives of vendors of related products to contact us for presenting information about their offerings here. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fauna previously named FaunaDB | GigaSpaces | Microsoft Azure Data Explorer | Redis | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | PostgreSQL is the DBMS of the Year 2018 MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year Fauna Adds Declarative Tool to Update Namesake Database Fauna Launches Distributed Document-Relational Database On Google Cloud Marketplace Utah Natural Heritage Program Slicing the Gordian Knot: A leap to real-time systems of truth New Innovative Schema Features Expand Capabilities of Fauna’s Document-Relational Database provided by Google News Lyvia Group Partners with GigaSpaces to Accelerate Digital Innovation in European Enterprises GigaSpaces to hand out almost $14 million in dividends following Cloudify’s acquisition by Dell GigaSpaces Announces Version 16.0 with Breakthrough Data Integration Tools to Ease Enterprises' Digital Transformation Challenges Your occasional storage digest with GigaSpaces, Virtana and NAND ship data GigaSpaces Plans Spinoff of Cloudify Division to Focus on Enterprise Hybrid Cloud Management and Network Or... provided by Google News We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer Update records in a Kusto Database (public preview) Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints Announcing General Availability of Graph Semantics in Kusto Migration of Azure Virtual Network injected Azure Data Explorer cluster to Private Endpoints provided by Google News Majority of Redis users considering alternatives after less permissive licensing move Redis debuts new data integration and AI features for its database Flight to Valkey appears to be response to removal of Redis’ open source license Valkey Emerges as Leading Open Source Alternative to Redis After Relicensing Row After changing its license, Redis drops its biggest release yet provided by Google News |
Share this page