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DBMS > Interbase vs. Neo4j vs. SQLite vs. Sqrrl

System Properties Comparison Interbase vs. Neo4j vs. SQLite vs. Sqrrl

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Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonNeo4j  Xexclude from comparisonSQLite  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionLight-weight proven RDBMS infooriginally from BorlandScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsWidely used embeddable, in-process RDBMSAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSGraph DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitewww.embarcadero.com/­products/­interbaseneo4j.comwww.sqlite.orgsqrrl.com
Technical documentationdocs.embarcadero.com/­products/­interbaseneo4j.com/­docswww.sqlite.org/­docs.html
DeveloperEmbarcaderoNeo4j, Inc.Dwayne Richard HippAmazon infooriginally Sqrrl Data, Inc.
Initial release1984200720002012
Current releaseInterBase 2020, December 20195.19, April 20243.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoPublic Domaincommercial
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageCJava, ScalaCJava
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
server-lessLinux
Data schemeyesschema-free and schema-optionalyes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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.no infoexport as XML data possibleno
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLyesnoyes infoSQL-92 is not fully supportedno
APIs and other access methodsADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageyes infoUser defined Procedures and Functionsnono
Triggersyesyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes using Neo4j FabricnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
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
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyes infovia file-system locksyes
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)noCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
InterbaseNeo4jSQLiteSqrrl
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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