DBMS > AnzoGraph DB vs. Apache Druid vs. Greenplum vs. Quasardb vs. Redis
System Properties Comparison AnzoGraph DB vs. Apache Druid vs. Greenplum vs. Quasardb vs. Redis
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Name | AnzoGraph DB Xexclude from comparison | Apache Druid Xexclude from comparison | Greenplum Xexclude from comparison | Quasardb Xexclude from comparison | Redis Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization | Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data | Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image. | Distributed, high-performance timeseries 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Graph DBMS RDF store | Relational DBMS Time Series DBMS | 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store Spatial DBMS | 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 | cambridgesemantics.com/anzograph | druid.apache.org | greenplum.org | quasar.ai | redis.com redis.io | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.cambridgesemantics.com/anzograph/userdoc/home.htm | druid.apache.org/docs/latest/design | docs.greenplum.org | doc.quasar.ai/master | docs.redis.com/latest/index.html redis.io/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Cambridge Semantics | Apache Software Foundation and contributors | Pivotal Software Inc. | quasardb | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2018 | 2012 | 2005 | 2009 | 2009 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 2.3, January 2021 | 29.0.1, April 2024 | 7.0.0, September 2023 | 3.14.1, January 2024 | 7.2.5, May 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial free trial version available | Open Source Apache license v2 | Open Source Apache 2.0 | commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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++ | C | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux | Linux OS X Unix | Linux | BSD Linux OS X Windows | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | Schema-free and OWL/RDFS-schema support | yes schema-less columns are supported | yes | schema-free | schema-free | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes | yes integer and binary | 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 | yes since Version 4.2 | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | no | yes | yes | yes with tags | yes with RediSearch module | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | SPARQL and SPARQL* as primary query language. Cypher preview. | SQL for querying | yes | SQL-like query language | with RediSQL module | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | Apache Mule gRPC JDBC Kafka OData access for BI tools OpenCypher RESTful HTTP API SPARQL | JDBC RESTful HTTP/JSON API | JDBC ODBC | HTTP API | proprietary protocol RESP - REdis Serialization Protocol | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C++ Java Python | Clojure JavaScript PHP Python R Ruby Scala | C Java Perl Python R | .Net C C# C++ Go Java JavaScript (Node.js) PHP 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 and aggregates | no | yes | no | Lua; Redis Functions coming in Redis 7 (slides and Github) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | no | yes | no | publish/subscribe channels provide some trigger functionality; RedisGears | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Automatic sharding | Sharding manual/auto, time-based | Sharding | Sharding consistent hashing | 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 in MPP-Cluster | yes, via HDFS, S3 or other storage engines | Source-replica replication | Source-replica replication with selectable replication factor | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | Kerberos/HDFS data loading | no | yes | with Hadoop integration | through RedisGears | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency in MPP-Cluster | Immediate Consistency | Immediate 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 | no not needed in graphs | no | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | no | ACID | ACID | Atomic execution of command blocks and scripts and optimistic locking | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes Data access is serialized by the server | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes by using LevelDB | 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. | yes | no | no | yes Transient mode | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users and roles | RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system | fine grained access rights according to SQL-standard | Cryptographically strong user authentication and audit trail | 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
AnzoGraph DB | Apache Druid | Greenplum | Quasardb | 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 AnzoGraph review: A graph database for deep analytics Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury Back to the future: Does graph database success hang on query language? Is The Enterprise Knowledge Graph Finally Going To Make All Data Usable? provided by Google News Apache Druid Wins Best Big Data Product in the 2023 BigDATAwire Readers' Choice Awards 'Lucifer' Botnet Turns Up the Heat on Apache Hadoop Servers New DDoS malware Attacking Apache big-data stack, Hadoop, & Druid Servers Imply Announces Automatic Schema Discovery for Apache Druid, Reinforcing Druid's Leadership for Real-Time ... Apache Druid Takes Its Place In The Pantheon Of Databases provided by Google News VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale | Amazon Web Services 1. Introducing the Greenplum Database - Data Warehousing with Greenplum [Book] RSA: EMC integrates Hadoop with Greenplum database Greenplum 6 ventures outside the analytic box Greenplum 6 review: Jack of all trades, master of some provided by Google News Record quasar is most luminous object in the universe Quasar Partners with PTC to Empower IoT Customers with High-Performance Data Solutions QUASAR yacht (Bilgin, 46.8m, 2016) Quasar Selected by National Renewable Energy Laboratory to Help with Energy System De-risking and Optimization Precisely measure a quasar galaxy's weight 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) Redis expands data management capabilities with Speedb acquisition – Blocks and Files Redis moves to source-available licenses Boosting throughput for cloud databases provided by Google News |
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