DBMS > Dragonfly vs. Microsoft Access vs. Prometheus vs. Redis vs. SAP SQL Anywhere
System Properties Comparison Dragonfly vs. Microsoft Access vs. Prometheus vs. Redis vs. SAP SQL Anywhere
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Name | Dragonfly Xexclude from comparison | Microsoft Access Xexclude from comparison | Prometheus Xexclude from comparison | Redis Xexclude from comparison | SAP SQL Anywhere formerly called Adaptive Server Anywhere Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance | Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. The Access frontend is often used for accessing other datasources (DBMS, Excel, etc.) | Open-source Time Series DBMS and monitoring system | 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. | RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Key-value store | Relational DBMS | Time Series DBMS | 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 | Document store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Search engine with RediSearch Time Series DBMS with RedisTimeSeries Vector DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | github.com/dragonflydb/dragonfly www.dragonflydb.io | www.microsoft.com/en-us/microsoft-365/access | prometheus.io | redis.com redis.io | www.sap.com/products/technology-platform/sql-anywhere.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | www.dragonflydb.io/docs | developer.microsoft.com/en-us/access | prometheus.io/docs | docs.redis.com/latest/index.html redis.io/docs | help.sap.com/docs/SAP_SQL_Anywhere | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | DragonflyDB team and community contributors | Microsoft | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | SAP formerly Sybase | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2023 | 1992 | 2015 | 2009 | 1992 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 1.0, March 2023 | 1902 (16.0.11328.20222), March 2019 | 7.2.5, May 2024 | 17, July 2015 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source BSL 1.1 | commercial Bundled with Microsoft Office | Open Source Apache 2.0 | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | commercial | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | C++ | C++ | Go | C | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux | Windows Not a real database server, but making use of DLLs | Linux Windows | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | AIX HP-UX Linux OS X Solaris Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | scheme-free | yes | yes | schema-free | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | strings, hashes, lists, sets, sorted sets, bit arrays | yes | Numeric data only | 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 | no Import of XML data possible | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | no | yes | no | yes with RediSearch module | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | yes but not compliant to any SQL standard | no | with RediSQL module | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | Proprietary protocol RESP - REdis Serialization Protocol | ADO.NET DAO ODBC OLE DB | RESTful HTTP/JSON API | proprietary protocol RESP - REdis Serialization Protocol | ADO.NET HTTP API JDBC ODBC | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C C# C++ Clojure D Dart Elixir Erlang Go Haskell Java JavaScript (Node.js) Lisp Lua Objective-C Perl PHP Python R Ruby Rust Scala Swift Tcl | C C# C++ Delphi Java (JDBC-ODBC) VBA Visual Basic.NET | .Net C++ Go Haskell Java JavaScript (Node.js) Python Ruby | 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# C++ Delphi Java JavaScript (Node.js) Perl PHP Python Ruby | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | Lua | yes since Access 2010 using the ACE-engine | no | Lua; Redis Functions coming in Redis 7 (slides and Github) | yes, in C/C++, Java, .Net or Perl | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | publish/subscribe channels provide some trigger functionality | yes since Access 2010 using the ACE-engine | no | publish/subscribe channels provide some trigger functionality; RedisGears | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | none | Sharding | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | none | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Source-replica replication | none | yes by Federation | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | Source-replica replication Database mirroring | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | no | no | through RedisGears | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency | none | 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 | yes | no | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | Atomic execution of command blocks and scripts | ACID but no files for transaction logging | no | Atomic execution of command blocks and scripts and optimistic locking | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes, strict serializability by the server | yes | yes | yes Data access is serialized by the server | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes but no files for transaction logging | 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 | Password-based authentication | no a simple user-level security was built in till version Access 2003 | no | 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dragonfly | Microsoft Access | Prometheus | Redis | SAP SQL Anywhere formerly called Adaptive Server Anywhere | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | MS Access drops in DB-Engines Ranking Microsoft SQL Server regained rank 2 in the DB-Engines popularity ranking New DB-Engines Ranking shows the popularity of database management systems | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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