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DBMS > Firebird vs. Neo4j vs. ScyllaDB vs. Vertica

System Properties Comparison Firebird vs. Neo4j vs. ScyllaDB vs. Vertica

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonNeo4j  Xexclude from comparisonScyllaDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseOpen source graph databaseCassandra-compatible wide column storeColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSGraph DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.45
Rank#32  Overall
#19  Relational DBMS
Score50.81
Rank#21  Overall
#1  Graph DBMS
Score1.91
Rank#114  Overall
#8  Wide column stores
Score21.31
Rank#30  Overall
#17  Relational DBMS
Websitewww.firebirdsql.orgneo4j.comwww.scylladb.comwww.vertica.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualsneo4j.com/­docsdocs.scylladb.comwww.vertica.com/­documentation/­vertica/­9-3-x-documentation
DeveloperFirebird FoundationNeo4j, Inc.ScyllaDBVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2000 infoAs fork of Borland's InterBase200720152005
Current release3.0.5, 20204.0.2, March 2020Scylla Open Source 3.2.3, March 2020Vertica Analytics Platform 9.3.x, January 2020
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoGPL version3, commercial licenses availableOpen Source infoOpen Source (AGPL), commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java, ScalaC++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
LinuxLinux
Data schemeyesschema-free and schema-optionalschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infocluster global secondary indicesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements (CQL)yes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresPSQLyes infoUser defined Procedures and Functionsnoyes
Triggersyesyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoavailable via 3rd party productsCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infoRepresentation of geographical distribution of servers is possibleMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoin-memory tables
User concepts infoAccess controlUsers with fine-grained authorization conceptUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users can be defined per objectfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
FirebirdNeo4jScyllaDBVertica infoVertica Analytics Platform
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
Cost-based models and subscription-based models are available
» more
News

Detecting Cryptocurrency Fraud with Neo4j
30 March 2020

This Week in Neo4j – Neo4j BI Connector, COVID-19, Supply Chain Management
28 March 2020

Q+A with Keith Hare: Newest Neo4j Team Member, Active in the Database Query Standards Process Since 1988
27 March 2020

Announcing Graphs4Good GraphHack
26 March 2020

Getting Started with the Neo4j BI Connector
24 March 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
FirebirdNeo4jScyllaDBVertica infoVertica Analytics Platform
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