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DBMS > Apache Impala vs. EsgynDB vs. Google Cloud Firestore vs. JanusGraph vs. RRDtool

System Properties Comparison Apache Impala vs. EsgynDB vs. Google Cloud Firestore vs. JanusGraph vs. RRDtool

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Industry 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 DBMSRelational DBMSDocument storeGraph DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websiteimpala.apache.orgwww.esgyn.cnfirebase.google.com/­products/­firestorejanusgraph.orgoss.oetiker.ch/­rrdtool
Technical documentationimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­firestoredocs.janusgraph.orgoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynGoogleLinux Foundation; originally developed as Titan by AureliusTobias Oetiker
Initial release20132015201720171999
Current release4.1.0, June 20220.6.3, February 20231.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache 2.0Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxLinuxhostedLinux
OS X
Unix
Windows
HP-UX
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric 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.nonononono infoExporting into and restoring from XML files possible
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnonono
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
in-process shared library
Pipes
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Clojure
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 proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresyes, Firebase Rules & Cloud Functionsyesno
Triggersnonoyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesUsing Cloud Dataflowyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.User authentification and security via Rexster Graph Serverno

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More resources
Apache ImpalaEsgynDBGoogle Cloud FirestoreJanusGraph infosuccessor of TitanRRDtool
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