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DBMS > Apache Impala vs. Datastax Enterprise vs. QuestDB vs. Transwarp StellarDB

System Properties Comparison Apache Impala vs. Datastax Enterprise vs. QuestDB vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonQuestDB  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A high performance open source SQL database for time series dataA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSWide column storeTime Series DBMSGraph DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websiteimpala.apache.orgwww.datastax.com/­products/­datastax-enterprisequestdb.iowww.transwarp.cn/­en/­product/­stellardb
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datastax.comquestdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDataStaxQuestDB Technology IncTranswarp
Initial release201320112014
Current release4.1.0, June 20226.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava (Zero-GC), C++, Rust
Server operating systemsLinuxLinux
OS X
Linux
macOS
Windows
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL); Spark SQLSQL with time-series extensionsSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
OpenCypher
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"horizontal partitioning (by timestamps)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per objectyes
More information provided by the system vendor
Apache ImpalaDatastax EnterpriseQuestDBTranswarp StellarDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Apache ImpalaDatastax EnterpriseQuestDBTranswarp StellarDB
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