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DBMS > Apache Impala vs. EJDB vs. GreptimeDB vs. RavenDB

System Properties Comparison Apache Impala vs. EJDB vs. GreptimeDB vs. RavenDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEJDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEmbeddable document-store database library with JSON representation of queries (in MongoDB style)An open source Time Series DBMS built for increased scalability, high performance and efficiencyOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSDocument storeTime Series DBMSDocument store
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websiteimpala.apache.orggithub.com/­Softmotions/­ejdbgreptime.comravendb.net
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.greptime.comravendb.net/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSoftmotionsGreptime Inc.Hibernating Rhinos
Initial release2013201220222010
Current release4.1.0, June 20225.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPLv2Open Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CRustC#
Server operating systemsLinuxserver-lessAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesno
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
in-process shared librarygRPC
HTTP API
JDBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Erlang
Go
Java
JavaScript
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoPythonyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoSimple rights management via user accountsAuthorization levels configured per client per database
More information provided by the system vendor
Apache ImpalaEJDBGreptimeDBRavenDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Apache ImpalaEJDBGreptimeDBRavenDB
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