DBMS > GigaSpaces vs. Memgraph vs. Neo4j vs. SingleStore vs. Teradata
System Properties Comparison GigaSpaces vs. Memgraph vs. Neo4j vs. SingleStore vs. Teradata
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Name | GigaSpaces Xexclude from comparison | Memgraph Xexclude from comparison | Neo4j Xexclude from comparison | SingleStore former name was MemSQL Xexclude from comparison | Teradata Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions | An open source graph database built for real-time streaming and compatible with Neo4j | Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings | MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type | A hybrid cloud data analytics software platform (Teradata Vantage) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store Object oriented DBMS Values are user defined objects | Graph DBMS | Graph DBMS | Relational DBMS | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Graph DBMS Search engine | Document store Spatial DBMS Time Series DBMS Vector DBMS | Document store Graph DBMS Spatial DBMS Time Series DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.gigaspaces.com | memgraph.com | neo4j.com | www.singlestore.com | www.teradata.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.gigaspaces.com/latest/landing.html | memgraph.com/docs | neo4j.com/docs | docs.singlestore.com | docs.teradata.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Developer | Gigaspaces Technologies | Memgraph Ltd | Neo4j, Inc. | SingleStore Inc. | Teradata | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2000 | 2017 | 2007 | 2013 | 1984 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 15.5, September 2020 | 5.18.1, March 2024 | 8.5, January 2024 | Teradata Vantage 1.0 MU2, January 2019 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Apache Version 2; Commercial licenses available | commercial Free license available | Open Source GPL version3, commercial licenses available | commercial free developer edition available | 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. | Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers. | SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | Java, C++, .Net | C and C++ | Java, Scala | C++, Go | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux macOS Solaris Windows | Linux | Linux Can also be used server-less as embedded Java database. OS X Solaris Windows | Linux 64 bit version required | hosted Linux | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | schema-free and schema-optional | schema-free and schema-optional | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | 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 XML can be used for describing objects metadata | no | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes pluggable indexing subsystem, by default Apache Lucene | yes | yes Join-index to prejoin tables, aggregate index, sparse index, hash index | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | SQL-99 for query and DML statements | no | no | yes but no triggers and foreign keys | yes SQL 2016 + extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | GigaSpaces LRMI Hibernate JCache JDBC JPA ODBC RESTful HTTP API Spring Data | Bolt protocol Cypher query language | Bolt protocol Cypher query language Java API Neo4j-OGM Object Graph Mapper RESTful HTTP API Spring Data Neo4j TinkerPop 3 | Cluster Management API as HTTP Rest and CLI HTTP API JDBC MongoDB API ODBC | .NET Client API HTTP REST JDBC JMS Adapter ODBC OLE DB | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | .Net C++ Java Python Scala | .Net C C++ Elixir Go Haskell Java JavaScript PHP Python Ruby Scala | .Net Clojure Elixir Go Groovy Haskell Java JavaScript Perl PHP Python Ruby Scala | Bash C C# Java JavaScript (Node.js) Python | C C++ Cobol Java (JDBC-ODBC) Perl PL/1 Python R Ruby | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | yes | yes User defined Procedures and Functions | yes | yes UDFs, stored procedures, table functions in parallel | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes, event driven architecture | yes via event handler | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding | Sharding dynamic graph partitioning | yes using Neo4j Fabric | Sharding hash partitioning | Sharding Hashing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication synchronous or asynchronous Source-replica replication synchronous or asynchronous | Multi-source replication using RAFT | Causal Clustering using Raft protocol available in in Enterprise Version only | Source-replica replication stores two copies of each physical data partition on two separate nodes | Multi-source replication Source-replica replication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | yes Map-Reduce pattern can be built with XAP task executors | no | no | no can define user-defined aggregate functions for map-reduce-style calculations | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency Consistency level configurable: ALL, QUORUM, ANY | Immediate Consistency | Causal and Eventual Consistency configurable in Causal Cluster setup Immediate Consistency in stand-alone mode | Immediate Consistency | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | yes relationships in graphs | yes Relationships in graphs | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID with snapshot isolation | ACID | ACID | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes, multi-version concurrency control (MVCC) | yes | yes, multi-version concurrency control (MVCC) | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes with periodic snapshot and write-ahead logging (WAL) of changes | yes | yes All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log. | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | yes | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Role-based access control | Users, roles and permissions | Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos) | Fine grained access control via users, groups and roles | fine grained access rights according to SQL-standard | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
GigaSpaces | Memgraph | Neo4j | SingleStore former name was MemSQL | Teradata | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | Memgraph directly connects to your streaming infrastructure so you and your team... » more | Neo4j delivers graph technology that has been battle tested for performance and scale... » more | SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | Business Source License ensures a future for the Memgraph community MAGE algorithm... » more | Neo4j is the market leader, graph database category creator, and the most widely... » more | SingleStore’s competitive advantages include: Easy and Simplified Architecture with... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | Graph algorithms in bioinformatics Social network analysis Cryptocurrency network... » more | Real-Time Recommendations Master Data Management Identity and Access Management Network... » more | Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers... » more | IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | Neo4j boasts the world's largest graph database ecosystem with more than 140 million... » more | Customers in various industries worldwide including US and International Industry... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | You can check out our pricing model and licenses on the company website . » more | GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial... » more | F ree Tier and Enterprise Edition » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
News | Announcing NODES 2024: Submit Your Talk ISO GQL: A Defining Moment in the History of Database Innovation This Week in Neo4j: Podcast, RAG, Neo4j Guide, ERP and more Neo4j Brings GraphRAG Capabilities for GenAI to Google Cloud Neo4j Is Now SOC2 Type 2 Compliant | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
GigaSpaces | Memgraph | Neo4j | SingleStore former name was MemSQL | Teradata | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Applying Graph Analytics to Game of Thrones MySQL, PostgreSQL and Redis are the winners of the March ranking The openCypher Project: Help Shape the SQL for Graphs | Turbocharge Your Application Development Using WebAssembly With SingleStoreDB Cloud-Based Analytics With SingleStoreDB SingleStore: The Increasing Momentum of Multi-Model Database Systems | Teradata is the most popular data warehouse DBMS 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 Graph database company Memgraph raises $9.34M Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a ... Modeling and Navigating a Transportation Network with Memgraph London-based Memgraph raises over €8 million in seed funding to provide Streaming Graph Algorithms to the masses How to Implement Custom JSON Utility Procedures With Memgraph MAGE and Python provided by Google News Knowledge graphs leveraged for enhanced AI insights Neo4j Welcomes New GQL International Standard in Major Milestone for Database Industry Using Neo4j’s graph database for AI in Azure Neo4j Is Planning IPO on Nasdaq, Largest Owner Greenbridge Says Leveraging Neo4j and Amazon Bedrock for an Explainable, Secure, and Connected Generative AI Solution | Amazon ... provided by Google News SingleStore CEO sees little future for purpose-built vector databases SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files SingleStore Accelerates Go-to-Market Strategy with AWS New AI features for developers in SingleStoreDB Announcing watsonx.ai and SingleStore for generative AI applications provided by Google News The Analyst Verdict: Teradata In The Eyes Of 8 Experts - Teradata (NYSE:TDC) Mellanox InfiniBand Helps Accelerate Teradata Aster Big Analytics Appliance Anaconda and Teradata partner to enhance open-source support for AI innovation Teradata Appoints Richard Petley as Chief Revenue Officer Teradata (NYSE:TDC) PT Lowered to $39.00 provided by Google News |
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