DBMS > Firebolt vs. GridDB vs. Microsoft Azure Data Explorer vs. Redis vs. Teradata
System Properties Comparison Firebolt vs. GridDB vs. Microsoft Azure Data Explorer vs. Redis vs. Teradata
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Name | Firebolt Xexclude from comparison | GridDB Xexclude from comparison | Microsoft Azure Data Explorer Xexclude from comparison | Redis Xexclude from comparison | Teradata Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Highly scalable cloud data warehouse and analytics product Forked from Clickhouse | Scalable in-memory time series database optimized for IoT and Big Data | 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. | A hybrid cloud data analytics software platform (Teradata Vantage) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Relational DBMS | Time Series DBMS | 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 | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Key-value store Relational DBMS | 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 | Document store Graph DBMS Spatial DBMS Time Series DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.firebolt.io | griddb.net | azure.microsoft.com/services/data-explorer | redis.com redis.io | www.teradata.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.firebolt.io | docs.griddb.net | docs.microsoft.com/en-us/azure/data-explorer | docs.redis.com/latest/index.html redis.io/docs | docs.teradata.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Firebolt Analytics Inc. | Toshiba Corporation | Microsoft | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | Teradata | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2020 | 2013 | 2019 | 2009 | 1984 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 5.1, August 2022 | cloud service with continuous releases | 7.2.5, May 2024 | Teradata Vantage 1.0 MU2, January 2019 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial | Open Source AGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available | commercial | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | commercial | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | yes | no | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | C++ | C | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | hosted | Linux | hosted | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | hosted Linux | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | yes | yes | Fixed schema with schema-less datatypes (dynamic) | schema-free | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes numerical, string, blob, geometry, boolean, timestamp | 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 | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | yes | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | all fields are automatically indexed | yes with RediSearch module | yes Join-index to prejoin tables, aggregate index, sparse index, hash index | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | yes | SQL92, SQL-like TQL (Toshiba Query Language) | Kusto Query Language (KQL), SQL subset | with RediSQL module | yes SQL 2016 + extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | .Net ODBC RESTful HTTP API | JDBC ODBC Proprietary protocol RESTful HTTP/JSON API | Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API | proprietary protocol RESP - REdis Serialization Protocol | .NET Client API HTTP REST JDBC JMS Adapter ODBC OLE DB | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | Go JavaScript (Node.js) Python | C C++ Go Java JavaScript (Node.js) Perl PHP Python Ruby | .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 | C C++ Cobol Java (JDBC-ODBC) Perl PL/1 Python R Ruby | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | no | no | Yes, possible languages: KQL, Python, R | Lua; Redis Functions coming in Redis 7 (slides and Github) | yes UDFs, stored procedures, table functions in parallel | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | yes | yes see docs.microsoft.com/en-us/azure/kusto/management/updatepolicy | publish/subscribe channels provide some trigger functionality; RedisGears | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding | Sharding Implicit feature of the cloud service | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | Sharding Hashing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | depending on storage layer | Source-replica replication | 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 | Multi-source replication Source-replica replication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | Connector for using GridDB as an input source and output destination for Hadoop MapReduce jobs | Spark connector (open source): github.com/Azure/azure-kusto-spark | through RedisGears | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate consistency within container, eventual consistency across containers | 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 | Immediate Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | no | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID at container level | no | Atomic execution of command blocks and scripts and optimistic locking | ACID | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes Data access is serialized by the server | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes Configurable mechanisms for persistency via snapshots and/or operations logs | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | no | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users can be defined per database | 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 | fine grained access rights according to SQL-standard | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More information provided by the system vendorWe invite representatives of system vendors to contact us for updating and extending the system information, | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Firebolt | GridDB | Microsoft Azure Data Explorer | Redis | Teradata | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | Teradata is the most popular data warehouse DBMS Analytics and Data Science News for the Week of September 20; Updates from Firebolt, Qrvey, Teradata & More Firebolt Launches Low Latency Cloud Data Warehouse for Enhanced Analytics Efficiency Data warehouse unicorn Firebolt aims to make magic in Kirkland Firebolt Archives - High-Performance Computing News Analysis 10 Best Data Pipeline Tools of 2024 to Boost Your Productivity provided by Google News Now Features Scale-Out and Scale-Up combo for Petabyte-scale Data Management ’s SQL Interface, Aims to Accelerate Open Innovation TOSHIBA DIGITAL SOLUTIONS CORPORATION IoT: Opt for the Right Open Source Database Toshiba Digital Solutions collaborates with DATAFLUCT to Deliver a Machine Learning Solution that Optimizes Store Visitors Prediction ~ The integration of Cloud Data Infrastructure and Auto Machine Learning enables accurate prediction without experts inter 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 General availability: Azure Data Explorer adds new geospatial capabilities provided by Google News Teradata: Award-Winning Tech Firm Has Capital Gains Potential At Undervalued Price (NYSE:TDC) Teradata wants you to think differently about data and innovation – and take inspiration from the likes of Shazam Analytics and Data Science News for the Week of September 20; Updates from Firebolt, Qrvey, Teradata & More Teradata’s ClearScape Analytics Enhancements Will Speed up AI Projects & Lower Costs Teradata ClearScape Analytics update targets ROI on AI, ML provided by Google News |
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