DBMS > Blazegraph vs. Couchbase vs. Elasticsearch vs. Geode vs. GigaSpaces
System Properties Comparison Blazegraph vs. Couchbase vs. Elasticsearch vs. Geode vs. GigaSpaces
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Name | Blazegraph Xexclude from comparison | Couchbase Originally called Membase Xexclude from comparison | Elasticsearch Xexclude from comparison | Geode Xexclude from comparison | GigaSpaces Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability. | A distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile database | A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric | Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes | High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Graph DBMS RDF store | Document store | Search engine | Key-value store | Document store Object oriented DBMS Values are user defined objects | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Key-value store originating from the former Membase product and supporting the Memcached protocol Spatial DBMS using the Geocouch extension Search engine Time Series DBMS Vector DBMS | Document store Spatial DBMS Vector DBMS | Graph DBMS Search engine | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | blazegraph.com | www.couchbase.com | www.elastic.co/elasticsearch | geode.apache.org | www.gigaspaces.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | wiki.blazegraph.com | docs.couchbase.com | www.elastic.co/guide/en/elasticsearch/reference/current/index.html | geode.apache.org/docs | docs.gigaspaces.com/latest/landing.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Blazegraph | Couchbase, Inc. | Elastic | Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire. | Gigaspaces Technologies | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2006 | 2011 | 2010 | 2002 | 2000 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 2.1.5, March 2019 | Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023 | 8.6, January 2023 | 1.1, February 2017 | 15.5, September 2020 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source extended commercial license available | Open Source Business Source License (BSL 1.1); Commercial licenses also available | Open Source Elastic License | Open Source Apache Version 2; commercial licenses available as Gemfire | Open Source Apache Version 2; Commercial licenses available | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | Java | C, C++, Go and Erlang | Java | Java | Java, C++, .Net | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux OS X Windows | Linux OS X Windows | All OS with a Java VM | All OS with a Java VM the JDK (8 or later) is also required | Linux macOS Solaris Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | schema-free | schema-free Flexible type definitions. Once a type is defined, it is persistent | schema-free | schema-free | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes RDF literal types | yes | yes | yes | 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 | no XML can be used for describing objects metadata | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | yes All search fields are automatically indexed | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | SPARQL is used as query language | SQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use cases | SQL-like query language | SQL-like query language (OQL) | SQL-99 for query and DML statements | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | Java API RESTful HTTP API SPARQL QUERY SPARQL UPDATE TinkerPop 3 | CLI Client HTTP REST Kafka Connector Native language bindings for CRUD, Query, Search and Analytics APIs Spark Connector Spring Data | Java API RESTful HTTP/JSON API | Java Client API Memcached protocol RESTful HTTP API | GigaSpaces LRMI Hibernate JCache JDBC JPA ODBC RESTful HTTP API Spring Data | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | .Net C C++ Java JavaScript PHP Python Ruby | .Net C Go Java JavaScript Node.js Kotlin PHP Python Ruby Scala | .Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby | .Net All JVM based languages C++ Groovy Java Scala | .Net C++ Java Python Scala | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | yes | Functions and timers in JavaScript and UDFs in Java, Python, SQL++ | yes | user defined functions | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | yes via the TAP protocol | yes by using the 'percolation' feature | yes Cache Event Listeners | yes, event driven architecture | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding | Automatic Sharding | Sharding | Sharding | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | yes | Multi-source replication including cross data center replication Source-replica replication | yes | Multi-source replication | Multi-source replication synchronous or asynchronous Source-replica replication synchronous or asynchronous | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | yes | ES-Hadoop Connector | no | yes Map-Reduce pattern can be built with XAP task executors | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency or Eventual Consistency depending on configuration | Eventual Consistency Immediate Consistency selectable on a per-operation basis | Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all | Eventual Consistency | Immediate Consistency Consistency level configurable: ALL, QUORUM, ANY | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | yes Relationships in Graphs | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID | no | yes, on a single node | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes Ephemeral buckets | Memcached and Redis integration | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Security and Authentication via Web Application Container (Tomcat, Jetty) | User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control. | Access rights per client and object definable | Role-based access control | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Blazegraph | Couchbase Originally called Membase | Elasticsearch | Geode | GigaSpaces | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month | PostgreSQL is the DBMS of the Year 2017 Elasticsearch moved into the top 10 most popular database management systems MySQL, PostgreSQL and Redis are the winners of the March ranking | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recent citations in the news | Harnessing GPUs Delivers a Big Speedup for Graph Analytics Back to the future: Does graph database success hang on query language? This AI Paper Introduces A Comprehensive RDF Dataset With Over 26 Billion Triples Covering Scholarly Data Across All Scientific Disciplines Representation Learning on RDF* and LPG Knowledge Graphs Faster with GPUs: 5 turbocharged databases provided by Google News | Institutional investors are Couchbase, Inc.'s (NASDAQ:BASE) biggest bettors and were rewarded after last week's US ... SQL's dad says yes to NoSQL Couchbase Announces New Features to Accelerate AI-Powered Adaptive Applications for Customers Stay ahead of the game by future-proofing data management with Krishna Thirtha Couchbase's revenue grows 20% and its stock rises in extended trading provided by Google News | Netflix Uses Elasticsearch Percolate Queries to Implement Reverse Searches Efficiently Using Elasticsearch to Offload Search and Analytics from DynamoDB: Pros and Cons Splunk vs Elasticsearch | A Comparison and How to Choose Introducing Elasticsearch Vector Database to Azure OpenAI Service On Your Data (Preview) ElasticSearch Goes Deep on OpenTelemetry with eBPF Donation provided by Google News | This is how much one of the most expensive gems costs at the Tucson gem show Apache Geode Spawns 'All Sorts of In-Memory Things' Where Does Apache Geode Fit in CQRS Architectures? 1. Introduction to Pivotal GemFire In-Memory Data Grid and Apache Geode - Scaling Data Services with Pivotal ... Event-Driven Architectures with Apache Geode and Spring Integration provided by Google News | GigaSpaces to hand out almost $14 million in dividends following Cloudify’s acquisition by Dell Data Sciences Corporation partners with GigaSpaces Technologies to usher DIH technology to enterprises in SA GigaSpaces Announces Version 16.0 with Breakthrough Data Integration Tools to Ease Enterprises' Digital ... GigaSpaces Spins Off Cloudify, Its Open Source Cloud Orchestration Unit Your occasional storage digest with GigaSpaces, Virtana and NAND ship data – Blocks and Files provided by Google News |
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