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DBMS > Greenplum vs. InfluxDB vs. Neo4j vs. YugabyteDB

System Properties Comparison Greenplum vs. InfluxDB vs. Neo4j vs. YugabyteDB

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonInfluxDB  Xexclude from comparisonNeo4j  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.DBMS for storing time series, events and metricsOpen source graph databaseHigh-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelRelational DBMSTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.55
Rank#39  Overall
#24  Relational DBMS
Score23.34
Rank#29  Overall
#1  Time Series DBMS
Score50.63
Rank#21  Overall
#1  Graph DBMS
Score1.14
Rank#158  Overall
#77  Relational DBMS
Websitepivotal.io/­pivotal-greenplumwww.influxdata.com/­products/­influxdb-overviewneo4j.comwww.yugabyte.com
Technical documentationgpdb.docs.pivotal.iodocs.influxdata.com/­influxdbneo4j.com/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperPivotal Software Inc.Neo4j, Inc.Yugabyte Inc.
Initial release2005201320072017
Current release6.7.1, April 20201.8.0, April 20204.1.1, July 20202.2.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ScalaC and C++
Server operating systemsLinuxLinux
OS X infothrough Homebrew
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Data schemeyesschema-freeschema-free and schema-optionaldepending on used data model
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infosince Version 4.2nono
Secondary indexesyesnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesSQL-like query languagenoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
HTTP API
JSON over UDP
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesC
Java
Perl
Python
R
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes infoUser defined Procedures and Functionsyes infosql, plpgsql, C
Triggersyesnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynoneHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infoin enterprise version onlyCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineno
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes
More information provided by the system vendor
GreenplumInfluxDBNeo4jYugabyteDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Gain Developer Agility Leverage full power of PostgreSQL-compatible SQL and distributed...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
YugabyteDB is a distributed ACID-compliant database that brings together four must-have...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
YugabyteDB is a good fit for fast-growing, cloud native applications that need to...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
YugabyteDB is a 100% open source project licensed under the permissive Apache 2.0...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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