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DBMS > GeoSpock vs. HarperDB vs. RavenDB vs. Sqrrl vs. ToroDB

System Properties Comparison GeoSpock vs. HarperDB vs. RavenDB vs. Sqrrl vs. ToroDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHarperDB  Xexclude from comparisonRavenDB  Xexclude from comparisonSqrrl  Xexclude from comparisonToroDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleUltra-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.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseAdaptable, secure NoSQL built on Apache AccumuloA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSDocument storeDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsTime Series DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Websitegeospock.comwww.harperdb.ioravendb.netsqrrl.comgithub.com/­torodb/­server
Technical documentationdocs.harperdb.io/­docsravendb.net/­docs
DeveloperGeoSpockHarperDBHibernating RhinosAmazon infooriginally Sqrrl Data, Inc.8Kdata
Initial release2017201020122016
Current release2.0, September 20193.1, August 20215.4, July 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoAGPL version 3, commercial license availablecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptNode.jsC#JavaJava
Server operating systemshostedLinux
OS X
Linux
macOS
Raspberry Pi
Windows
LinuxAll OS with a Java 7 VM
Data schemeyesdynamic schemaschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesnoyesyes infostring, integer, double, boolean, date, object_id
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
Secondary indexestemporal, categoricalyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like data manipulation statementsSQL-like query language (RQL)no
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
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 3.1yesno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedMulti-source replicationselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACID, Cluster-wide transaction availableAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users and rolesAuthorization levels configured per client per databaseCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and roles

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More resources
GeoSpockHarperDBRavenDBSqrrlToroDB
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