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DBMS > Apache Impala vs. eXtremeDB vs. HugeGraph vs. OpenTSDB

System Properties Comparison Apache Impala vs. eXtremeDB vs. HugeGraph vs. OpenTSDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopNatively in-memory DBMS with options for persistency, high-availability and clusteringA fast-speed and highly-scalable Graph DBMSScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Graph DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websiteimpala.apache.orgwww.mcobject.comgithub.com/­hugegraph
hugegraph.apache.org
opentsdb.net
Technical documentationimpala.apache.org/­impala-docs.htmlwww.mcobject.com/­docs/­extremedb.htmhugegraph.apache.org/­docsopentsdb.net/­docs/­build/­html/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMcObjectBaiducurrently maintained by Yahoo and other contributors
Initial release2013200120182011
Current release4.1.0, June 20228.2, 20210.9
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0Open Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++JavaJava
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Unix
Linux
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnumeric data for metrics, strings for tags
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 infosupport of XML interfaces availablenono
Secondary indexesyesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith the option: eXtremeSQLnono
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Telnet API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
Java
Lua
Python
Scala
Groovy
Java
Python
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesasynchronous Gremlin script jobsno
Triggersnoyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers, roles and permissionsno
More information provided by the system vendor
Apache ImpalaeXtremeDBHugeGraphOpenTSDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
Apache ImpalaeXtremeDBHugeGraphOpenTSDB
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