DBMS > Hazelcast vs. Redis vs. Sqrrl vs. Tarantool vs. Teradata Aster
System Properties Comparison Hazelcast vs. Redis vs. Sqrrl vs. Tarantool vs. Teradata Aster
Editorial information provided by DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Name | Hazelcast Xexclude from comparison | Redis Xexclude from comparison | Sqrrl Xexclude from comparison | Tarantool Xexclude from comparison | Teradata Aster Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking. | Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | A widely adopted in-memory data grid | 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. | Adaptable, secure NoSQL built on Apache Accumulo | In-memory computing platform with a flexible data schema for efficiently building high-performance applications | Platform for big data analytics on multistructured data sources and types | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Key-value store | Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | Document store Graph DBMS Key-value store Wide column store | Document store Key-value store Relational DBMS | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store JSON support with IMDG 3.12 | Document store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Search engine with RediSearch Time Series DBMS with RedisTimeSeries Vector DBMS | Spatial DBMS with Tarantool/GIS extension | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Website | hazelcast.com | redis.com redis.io | sqrrl.com | www.tarantool.io | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | hazelcast.org/imdg/docs | docs.redis.com/latest/index.html redis.io/docs | www.tarantool.io/en/doc | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Hazelcast | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | Amazon originally Sqrrl Data, Inc. | VK | Teradata | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2008 | 2009 | 2012 | 2008 | 2005 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 5.3.6, November 2023 | 7.2.4, January 2024 | 2.10.0, May 2022 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Apache Version 2; commercial licenses available | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | commercial | Open Source BSD-2, source-available extensions (modules), commercial licenses for Tarantool 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 | Java | C | Java | C and C++ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | All OS with a Java VM | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | Linux | BSD Linux macOS | Linux | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | schema-free | schema-free | Flexible data schema: relational definition for tables with ability to store json-like documents in columns | Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | yes | string, double, decimal, uuid, integer, blob, boolean, datetime | 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. | yes the object must implement a serialization strategy | no | no | yes in Aster File Store | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes with RediSearch module | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | SQL-like query language | with RediSQL module | no | Full-featured ANSI SQL support | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | JCache JPA Memcached protocol RESTful HTTP API | proprietary protocol RESP - REdis Serialization Protocol | Accumulo Shell Java API JDBC ODBC RESTful HTTP API Thrift | Open binary protocol | ADO.NET JDBC ODBC OLE DB | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | .Net C# C++ Clojure Go Java JavaScript (Node.js) Python Scala | 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 | Actionscript C using GLib C# C++ Cocoa Delphi Erlang Go Haskell Java JavaScript OCaml Perl PHP Python Ruby Smalltalk | C C# C++ Erlang Go Java JavaScript Lua Perl PHP Python Rust | C C# C++ Java Python R | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | yes Event Listeners, Executor Services | Lua; Redis Functions coming in Redis 7 (slides and Github) | no | Lua, C and SQL stored procedures | R packages | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes Events | publish/subscribe channels provide some trigger functionality; RedisGears | no | yes, before/after data modification events, on replication events, client session events | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | Sharding making use of Hadoop | Sharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime. | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | yes Replicated Map | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | selectable replication factor making use of Hadoop | Asynchronous replication with multi-master option Configurable replication topology (full-mesh, chain, star) Synchronous quorum replication (with Raft) | yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | yes | through RedisGears | yes | yes SQL Map-Reduce Framework | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency or Eventual Consistency selectable by user Raft Consensus Algorithm | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | Immediate Consistency Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution. | Casual consistency across sharding partitions Eventual consistency within replicaset partition when using asyncronous replication Immediate Consistency within single instance Sequential consistency including linearizable read within replicaset partition when using Raft | Immediate Consistency or Eventual Consistency depending on configuration | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | no | no | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | one or two-phase-commit; repeatable reads; read commited | Atomic execution of command blocks and scripts and optimistic locking | Atomic updates per row, document, or graph entity | ACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes Data access is serialized by the server | yes | yes, cooperative multitasking | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes Configurable mechanisms for persistency via snapshots and/or operations logs | yes | yes, write ahead logging | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | yes | yes, full featured in-memory storage engine with persistence | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Role-based access control | 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 | Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC) | 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 | 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, | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Related products and services | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3rd parties | CData: Connect to Big Data & NoSQL through standard Drivers. » more Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs. » more Redisson PRO: The ultra-fast Redis Java Client. » more Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface. » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
We invite representatives of vendors of related products to contact us for presenting information about their offerings here. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hazelcast | Redis | Sqrrl | Tarantool | Teradata Aster | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | Data processing speed and reliability: in-memory synchronous replication | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recent citations in the news | Hazelcast Weaves Wider Logic Threads Through The Data Fabric Hazelcast Showcases Real-Time Data Platform at 2024 Gartner Summit Hazelcast 5.4 real time data processing platform boosts AI and consistency Real-Time Data Platform Hazelcast Introduces New Chief Technology Officer Adrian Soars Hazelcast to Demonstrate Power of Unified Platform for Real-Time and AI Applications at the ... provided by Google News | Redis acquires storage engine startup Speedb to enhance its open-source database AWS announces vector search for Amazon MemoryDB for Redis (Preview) Boosting throughput for cloud databases Redis expands data management capabilities with Speedb acquisition – Blocks and Files Redis moves to source-available licenses provided by Google News | Splunk details Sqrrl 'screw-ups' that hampered threat hunting Amazon acquires cybersecurity startup Sqrrl Mark Terenzoni Amazon's cloud business acquires Sqrrl, a security start-up with NSA roots Millennials possess the advantage of time for wealth creation, says Yashoraj Tyagi of Sqrrl | Mint provided by Google News | Deploying Tarantool Cartridge applications with zero effort (Part 1) VShard — horizontal scaling in Tarantool Accelerating PHP connectors for Tarantool using Async, Swoole, and Parallel provided by Google News | Northwestern Analytics Partners with Teradata Aster to Host Hackathon Teradata Aster gets graph database, HDFS-compatible file store Teradata Provides the Simplest Way to Bring the Science of Data to the Art of Business Teradata's Aster shows how the flowers of fraud bloom Case study: Siemens reduces train failures with Teradata Aster provided by Google News |
Share this page