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DBMS > Databend vs. EJDB vs. EsgynDB vs. HugeGraph vs. RRDtool

System Properties Comparison Databend vs. EJDB vs. EsgynDB vs. HugeGraph vs. RRDtool

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonEJDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA fast-speed and highly-scalable Graph DBMSIndustry 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.
Primary database modelRelational DBMSDocument storeRelational DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­Softmotions/­ejdbwww.esgyn.cngithub.com/­hugegraph
hugegraph.apache.org
oss.oetiker.ch/­rrdtool
Technical documentationdocs.databend.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhugegraph.apache.org/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperDatabend LabsSoftmotionsEsgynBaiduTobias Oetiker
Initial release20212012201520181999
Current release1.0.59, April 20230.91.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2commercialOpen Source infoApache Version 2.0Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCC++, JavaJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshosted
Linux
macOS
server-lessLinuxLinux
macOS
Unix
HP-UX
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesNumeric data only
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 indexesnonoyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLyesnoyesnono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
in-process shared libraryADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
in-process shared library
Pipes
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetGroovy
Java
Python
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
Server-side scripts infoStored proceduresnonoJava Stored Proceduresasynchronous Gremlin script jobsno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication between multi datacentersyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes 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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standardUsers, roles and permissionsno

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More resources
DatabendEJDBEsgynDBHugeGraphRRDtool
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