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DBMS > 4D vs. HarperDB vs. SingleStore vs. Sqrrl

System Properties Comparison 4D vs. HarperDB vs. SingleStore vs. Sqrrl

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonHarperDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  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.
DescriptionApplication development environment with integrated database management systemHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.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 typeAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.4d.comwww.harperdb.iowww.singlestore.comsqrrl.com
Technical documentationdeveloper.4d.comdocs.harperdb.io/­docsdocs.singlestore.com
Developer4D, IncHarperDBSingleStore Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release1984201720132012
Current releasev20, April 20233.1, August 20218.5, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC++, GoJava
Server operating systemsOS X
Windows
Linux
OS X
Linux info64 bit version requiredLinux
Data schemeyesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like data manipulation statementsyes infobut no triggers and foreign keysno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages4D proprietary IDE
PHP
.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
Bash
C
C#
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1yesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterSharding infohash partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infothe nodes on which a table resides can be definedSource-replica replication infostores two copies of each physical data partition on two separate nodesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes, using LMDByes infoAll 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 infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users and rolesFine grained access control via users, groups and rolesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
4D infoformer name: 4th DimensionHarperDBSingleStore infoformer name was MemSQLSqrrl
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