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DBMS > Cloudflare Workers KV vs. EJDB vs. Splice Machine vs. Sqrrl vs. VelocityDB

System Properties Comparison Cloudflare Workers KV vs. EJDB vs. Splice Machine vs. Sqrrl vs. VelocityDB

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonEJDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSqrrl  Xexclude from comparisonVelocityDB  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.
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAdaptable, secure NoSQL built on Apache AccumuloA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­Softmotions/­ejdbsplicemachine.comsqrrl.comvelocitydb.com
Technical documentationdevelopers.cloudflare.com/­kv/­apigithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdsplicemachine.com/­how-it-worksvelocitydb.com/­UserGuide
DeveloperCloudflareSoftmotionsSplice MachineAmazon infooriginally Sqrrl Data, Inc.VelocityDB Inc
Initial release20182012201420122011
Current release3.1, March 20217.x
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoAGPL 3.0, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaC#
Server operating systemshostedserver-lessLinux
OS X
Solaris
Windows
LinuxAny that supports .NET
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyesyesyes
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.nono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsHTTP REST
Proprietary protocol
in-process shared libraryJDBC
Native Spark Datasource
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
.Net
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
Server-side scripts infoStored proceduresnonoyes infoJavanono
TriggersnonoyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Based on Windows Authentication

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More resources
Cloudflare Workers KVEJDBSplice MachineSqrrlVelocityDB
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