DBMS > AllegroGraph vs. InfluxDB vs. MarkLogic vs. Redis vs. Solr
System Properties Comparison AllegroGraph vs. InfluxDB vs. MarkLogic vs. Redis vs. Solr
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| Name | AllegroGraph Xexclude from comparison | InfluxDB Xexclude from comparison | MarkLogic Xexclude from comparison | Redis Xexclude from comparison | Solr Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | High performance, persistent RDF store with additional support for Graph DBMS | DBMS for storing time series, events and metrics | Operational and transactional Enterprise NoSQL database | 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 widely used distributed, scalable search engine based on Apache Lucene | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | Document store with version 6.5 Graph DBMS RDF store Vector DBMS | Time Series DBMS | Document store Native XML DBMS RDF store as of version 7Search engine | Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | Search engine | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Spatial DBMS | Spatial DBMS with GEO package | Document store with RedisJSON Graph DBMS with RedisGraphSpatial DBMS Search engine with RediSearchTime Series DBMS with RedisTimeSeriesVector DBMS | Spatial DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | allegrograph.com | www.influxdata.com/products/influxdb-overview | www.marklogic.com | redis.com redis.io | solr.apache.org | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | franz.com/agraph/support/documentation/current/agraph-introduction.html | docs.influxdata.com/influxdb | docs.marklogic.com | docs.redis.com/latest/index.html redis.io/docs | solr.apache.org/resources.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer | Franz Inc. | MarkLogic Corp. | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | Apache Software Foundation | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 2004 | 2013 | 2001 | 2009 | 2006 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | 8.0, December 2023 | 2.7.6, April 2024 | 11.0, December 2022 | 7.2.4, January 2024 | 9.6.0, April 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | commercial Limited community edition free | Open Source MIT-License; commercial enterprise version available | commercial restricted free version is available | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | Open Source Apache Version 2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Implementation language | Go | C++ | C | Java | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | Linux OS X Windows | Linux OS X through Homebrew | Linux OS X Windows | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | All OS with a Java VM runs as a servlet in servlet container (e.g. Tomcat, Jetty is included) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | yes RDF schemas | schema-free | schema-free Schema can be enforced | schema-free | yes Dynamic Fields enables on-the-fly addition of new fields | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | yes | Numeric data and Strings | yes | partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | yes supports customizable data types and automatic typing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 bulk load of XML files possible | no | yes | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes | no | yes | yes with RediSearch module | yes All search fields are automatically indexed | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | SPARQL is used as query language | SQL-like query language | yes SQL92 | with RediSQL module | Solr Parallel SQL Interface | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | RESTful HTTP API SPARQL | HTTP API JSON over UDP | Java API Node.js Client API ODBC proprietary Optic API Proprietary Query API, introduced with version 9RESTful HTTP API SPARQL WebDAV XDBC XQuery XSLT | proprietary protocol RESP - REdis Serialization Protocol | Java API RESTful HTTP/JSON API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Supported programming languages | C# Clojure Java Lisp Perl Python Ruby Scala | .Net Clojure Erlang Go Haskell Java JavaScript JavaScript (Node.js) Lisp Perl PHP Python R Ruby Rust Scala | C C# C++ Java JavaScript (Node.js) Perl PHP 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 | .Net Erlang Java JavaScript any language that supports sockets and either XML or JSON Perl PHP Python Ruby Scala | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | yes JavaScript or Common Lisp | no | yes via XQuery or JavaScript | Lua; Redis Functions coming in Redis 7 (slides and Github) | Java plugins | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | yes | no | yes | publish/subscribe channels provide some trigger functionality; RedisGears | yes User configurable commands triggered on index changes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | with Federation | Sharding in enterprise version only | Sharding | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication Source-replica replication | selectable replication factor in enterprise version only | yes | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | no | no | yes via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs | through RedisGears | spark-solr: github.com/lucidworks/spark-solr and streaming expressions to reduce | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency or Eventual Consistency depending on configuration | Immediate Consistency | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | Eventual Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | no | ACID can act as a resource manager in an XA/JTA transaction | Atomic execution of command blocks and scripts and optimistic locking | optimistic locking | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes Data access is serialized by the server | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Support for making data persistent | yes | 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. | no | yes Depending on used storage engine | yes, with Range Indexes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts Access control | Users with fine-grained authorization concept, user roles and pluggable authentication | simple rights management via user accounts | Role-based access control at the document and subdocument levels | 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 | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| AllegroGraph | InfluxDB | MarkLogic | Redis | Solr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | Knowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph... » more | InfluxData is the creator of InfluxDB , the open source time series database. It... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | AllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and... » more | Time to Value InfluxDB is available in all the popular languages and frameworks,... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Key customers | InfluxData has more than 1,900 paying customers, including customers include MuleSoft,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Market metrics | Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Licensing and pricing models | Open source core with closed source clustering available either on-premise or on... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| News | Can Neuro-Symbolic AI Solve AI’s Weaknesses? 100 Companies That Matter in KM – Franz Inc. Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar) What is Neuro-Symbolic AI? Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform | An Introductory Guide to Grafana Alerts What to Expect When You’re Expecting InfluxDB: A Guide Introduction to Apache Iceberg Converting Timestamp to Date in Java A Detailed Guide to C# TimeSpan | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| AllegroGraph | InfluxDB | MarkLogic | Redis | Solr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DB-Engines blog posts | Why Build a Time Series Data Platform? Time Series DBMS are the database category with the fastest increase in popularity Time Series DBMS as a new trend? | 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 | Elasticsearch replaced Solr as the most popular search engine Enterprise Search Engines almost double their popularity in the last 12 months The DB-Engines ranking includes now search engines Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses? Neuro-Symbolic AI: The Peak of Artificial Intelligence The Foundation of Data Fabrics and AI: Semantic Knowledge Graphs - DataScienceCentral.com Franz Releases the First Neuro-Symbolic AI Platform Merging Knowledge Graphs, Generative AI, and Vector Storage Fuse Graph Neural Networks with Semantic Reasoning to Produce Complimentary Predictions provided by Google News Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World Amazon Timestream: Managed InfluxDB for Time Series Data How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB provided by Google News Intelligence for multi-domain warfighters can now be sourced from logistics operations MarkLogic “The NoSQL Database”. In the MarkLogic Query Console, you can… | by Abhay Srivastava | Apr, 2024 Database Platform to Simplify Complex Data | Progress Marklogic ABN AMRO Moves Progress-Powered Credit Store App to Azure Cloud; Achieves 40% Faster Data Processing, Lower ... Seven Quick Steps to Setting Up MarkLogic Server in Kubernetes provided by Google News Boosting throughput for cloud databases Redis acquires storage engine startup Speedb to enhance its open-source database Redis moves to source-available licenses Redis expands data management capabilities with Speedb acquisition – Blocks and Files Redis switches licenses, acquires Speedb to go beyond its core in-memory database provided by Google News Solana Token Creator by Solr Network Becomes the Fastest-Growing Platform on Solana SOLR hosts May Day amid ongoing contract negotiations SOLR-led walkout demands better conditions for Compass workers Best Practices from Rackspace for Modernizing a Legacy HBase/Solr Architecture Using AWS Services | Amazon Web ... Top 5 stock gainers and losers: SOLR.V, GRSL.V, ANON.C provided by Google News | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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