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DBMS > HarperDB vs. OpenEdge vs. SingleStore vs. Sqrrl

System Properties Comparison HarperDB vs. OpenEdge vs. SingleStore vs. Sqrrl

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonOpenEdge  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.
DescriptionHarperDB 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.Application development environment with integrated database management systemMySQL 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 modelDocument storeRelational DBMSRelational 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
Score0.55
Rank#243  Overall
#38  Document stores
Score3.69
Rank#78  Overall
#42  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.harperdb.iowww.progress.com/­openedgewww.singlestore.comsqrrl.com
Technical documentationdocs.harperdb.io/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.singlestore.com
DeveloperHarperDBProgress Software CorporationSingleStore Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release2017198420132012
Current release3.1, August 2021OpenEdge 12.2, March 20208.5, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercial 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 systemsLinux
OS X
AIX
HP-UX
Linux
Solaris
Windows
Linux info64 bit version requiredLinux
Data schemedynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyes 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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like data manipulation statementsyes infoclose to SQL 92yes infobut no triggers and foreign keysno
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
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 languages.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
Progress proprietary ABL (Advanced Business Language)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 proceduresCustom Functions infosince release 3.1yesyesno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning infosince Version 11.4Sharding infohash partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replicationSource-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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDAtomic 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 persistentyes, using LMDByesyes 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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesUsers and groupsFine 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
HarperDBOpenEdgeSingleStore infoformer name was MemSQLSqrrl
DB-Engines blog posts

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SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

HarperDB Attracts Significant Growth Investment from Serent Capital
12 June 2024, Business Wire

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