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DBMS > EsgynDB vs. Google Cloud Datastore vs. RocksDB vs. RRDtool vs. Valentina Server

System Properties Comparison EsgynDB vs. Google Cloud Datastore vs. RocksDB vs. RRDtool vs. Valentina Server

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRocksDB  Xexclude from comparisonRRDtool  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Object-relational database and reports server
Primary database modelRelational DBMSDocument storeKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score1.70
Rank#136  Overall
#11  Time Series DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websitewww.esgyn.cncloud.google.com/­datastorerocksdb.orgoss.oetiker.ch/­rrdtoolwww.valentina-db.net
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­facebook/­rocksdb/­wikioss.oetiker.ch/­rrdtool/­docvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperEsgynGoogleFacebook, Inc.Tobias OetikerParadigma Software
Initial release20152008201319991999
Current release9.4.0, June 20241.8.0, 20225.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxhostedLinuxHP-UX
Linux
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, details herenoNumeric data onlyyes
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.nononono infoExporting into and restoring from XML files possible
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyesSQL-like query language (GQL)nonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
C++ API
Java API
in-process shared library
Pipes
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresJava Stored Proceduresusing Google App Enginenonoyes
TriggersnoCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication using Paxosyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownonono
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.none
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
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.nonoyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonofine grained access rights according to SQL-standard

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More resources
EsgynDBGoogle Cloud DatastoreRocksDBRRDtoolValentina Server
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