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DBMS > Apache Impala vs. GreptimeDB vs. Realm vs. YugabyteDB

System Properties Comparison Apache Impala vs. GreptimeDB vs. Realm vs. YugabyteDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRealm  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websiteimpala.apache.orggreptime.comrealm.iowww.yugabyte.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.greptime.comrealm.io/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGreptime Inc.Realm, acquired by MongoDB in May 2019Yugabyte Inc.
Initial release2013202220142017
Current release4.1.0, June 20222.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC++RustC and C++
Server operating systemsLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Data schemeyesschema-free, schema definition possibleyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
gRPC
HTTP API
JDBC
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesAll languages supporting JDBC/ODBCC++
Erlang
Go
Java
JavaScript
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePythonno inforuns within the applications so server-side scripts are unnecessaryyes infosql, plpgsql, C
Triggersnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSimple rights management via user accountsyesyes
More information provided by the system vendor
Apache ImpalaGreptimeDBRealmYugabyteDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Systems of record and engagement for cloud native applications that require resilience,...
» 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
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Apache 2.0 license for the database
» more

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Apache ImpalaGreptimeDBRealmYugabyteDB
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