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DBMS > Dgraph vs. HarperDB vs. Interbase vs. searchxml vs. Sqrrl

System Properties Comparison Dgraph vs. HarperDB vs. Interbase vs. searchxml vs. Sqrrl

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHarperDB  Xexclude from comparisonInterbase  Xexclude from comparisonsearchxml  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.
DescriptionDistributed and scalable native Graph DBMSUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Light-weight proven RDBMS infooriginally from BorlandDBMS for structured and unstructured content wrapped with an application serverAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMSDocument storeRelational DBMSNative XML DBMS
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitedgraph.iowww.harperdb.iowww.embarcadero.com/­products/­interbasewww.searchxml.net/­category/­productssqrrl.com
Technical documentationdgraph.io/­docsdocs.harperdb.io/­docsdocs.embarcadero.com/­products/­interbasewww.searchxml.net/­support/­handouts
DeveloperDgraph Labs, Inc.HarperDBEmbarcaderoinformationpartners gmbhAmazon infooriginally Sqrrl Data, Inc.
Initial release20162017198420152012
Current release3.1, August 2021InterBase 2020, December 20191.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoNode.jsCC++Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Android
iOS
Linux
OS X
Windows
WindowsLinux
Data schemeschema-freedynamic schemayesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes
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.nonono infoexport as XML data possibleyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesnono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++ infomost other programming languages supported via APIsActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yes infoInterbase procedure and trigger languageyes infoon the application serverno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesyesA table resides as a whole on one (or more) nodes in a clusternonenoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infothe nodes on which a table resides can be definedInterbase Change Viewsyes infosychronisation to multiple collectionsselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDmultiple readers, single writerAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users and rolesfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application servicesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DgraphHarperDBInterbasesearchxmlSqrrl
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