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DBMS > EJDB vs. etcd vs. Google Cloud Datastore vs. IBM Db2 warehouse vs. SAP SQL Anywhere

System Properties Comparison EJDB vs. etcd vs. Google Cloud Datastore vs. IBM Db2 warehouse vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed reliable key-value storeAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCloud-based data warehousing serviceRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument storeKey-value storeDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score4.47
Rank#76  Overall
#12  Document stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbetcd.io
github.com/­etcd-io/­etcd
cloud.google.com/­datastorewww.ibm.com/­products/­db2/­warehousewww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cloud.google.com/­datastore/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperSoftmotionsGoogleIBMSAP infoformerly Sybase
Initial release2012200820141992
Current release3.4, August 201917, July 2015
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGo
Server operating systemsserver-lessFreeBSD
Linux
Windows infoexperimental
hostedhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyes, details hereyesyes
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 infoImport/export of XML data possibleyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)yesyes
APIs and other access methodsin-process shared librarygRPC
JSON over HTTP
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonousing Google App EnginePL/SQL, SQL PLyes, in C/C++, Java, .Net or Perl
Triggersnoyes, watching key changesCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication using PaxosyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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.nonoyesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EJDBetcdGoogle Cloud DatastoreIBM Db2 warehouse infoformerly named IBM dashDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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