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description=Timecho provides an enterprise-grade time series database solution based on Apache IoTDB. Our product suite includes the open-source Apache IoTDB, the feature-enhanced TimechoDB, and the visual management tool Timecho Workbench. With high compression, fast queries, and scalable deployment, it is widely used in IoT, edge computing, and cloud scenarios.;

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or free superior compression saves over 90 on storage costs with our innovative storage concept seamless scalability open source cluster deployment instant scaling no data migration industry centric design supports multiple protocols out of order writes one click backup welcome to the 2026 time series tech innovation summit register now sign up now industry leading time series database for the iot our mission is to revolutionize the field of big data by developing cutting edge software solutions that empower enterprises to utilize the full potential of time series data from seamless data collection and storage to efficient querying powerful analysis and meaningful application we strive to enable enterprises to extract maximum value from their data while minimizing costs programming example select your preferred programming language to view the corresponding source code package org apache iotdb import org apache iotdb isession sessiondataset import org apache iotdb rpc iotdbconnectionexception import org apache iotdb rpc statementexecutionexception import org apache iotdb session session import org apache iotdb tsfile write record tablet import org apache iotdb tsfile write schema measurementschema import java util arraylist import java util list public class sessionexample private static session session public static void main string args throws iotdbconnectionexception statementexecutionexception session new session builder host 172 0 0 1 port 6667 username root password root build session open false list measurementschema schemalist new arraylist schemalist add new measurementschema s1 tsdatatype float schemalist add new measurementschema s2 tsdatatype float schemalist add new measurementschema s3 tsdatatype float tablet tablet new tablet root db d1 schemalist 10 tablet addtimestamp 0 1 tablet addvalue s1 0 1 23f tablet addvalue s2 0 1 23f tablet addvalue s3 0 1 23f tablet rowsize session inserttablet tablet tablet reset try sessiondataset dataset session executequerystatement select from root db while dataset hasnext system out println dataset next session close from iotdb session import session from iotdb utils iotdbconstants import tsdatatype from iotdb utils tablet import tablet ip 127 0 0 1 port 6667 username root password root session session ip port username password session open false measurements s_01 s_02 s_03 s_04 s_05 s_06 data_types tsdatatype boolean tsdatatype int32 tsdatatype int64 tsdatatype float tsdatatype double tsdatatype text values false 10 11 1 1 10011 1 test01 true 100 11111 1 25 101 0 test02 false 100 1 188 1 688 25 test03 true 0 0 0 6 25 test04 timestamps 1 2 3 4 tablet tablet root db d_03 measurements data_types values timestamps session insert_tablet tablet with session execute_statement select from root db as session_data_set while session_data_set has_next print session_data_set next session close include session h include iostream include string include vector include sstream int main int argc char argv session session new session 127 0 0 1 6667 root root session open std vector std pair std string tsdatatype tsdatatype schemas schemas push_back s0 tsdatatype int64 schemas push_back s1 tsdatatype int64 schemas push_back s2 tsdatatype int64 int64_t val 0 tablet tablet root db d1 schemas maxrownum 10 tablet rowsize tablet timestamps 0 0 val 100 tablet addvalue schemaid 0 rowindex 0 valaddr val val 200 tablet addvalue schemaid 1 rowindex 0 valaddr val val 300 tablet addvalue schemaid 2 rowindex 0 valaddr val session inserttablet tablet tablet reset std unique_ptr sessiondataset res session executequerystatement select from root db while res hasnext std cout res next tostring std endl res reset session close delete session return 0 package main import fmt log github com apache iotdb client go client func main config client config host 127 0 0 1 port 6667 username root password root session client newsession config if err session open false 0 err nil log fatal err defer session close close session at end of main rowcount 3 tablet err client newtablet root db d1 client measurementschema measurement restart_count datatype client int32 encoding client rle compressor client snappy measurement price datatype client double encoding client gorilla compressor client snappy measurement description datatype client text encoding client plain compressor client snappy rowcount if err nil fmt errorf tablet create error err return timestamplist int64 0 1 2 valuesint32list int32 5 99999 123456 valuesdoublelist float64 0 001 10e5 54321 0 valuestextlist string test1 test2 test3 for row 0 row rowcount row tablet settimestamp timestamplist row row tablet setvalueat valuesint32list row 0 row tablet setvalueat valuesdoublelist row 1 row tablet setvalueat valuestextlist row 2 row session inserttablet tablet false var timeoutinms int64 timeoutinms 1000 sql select from root db dataset err session executequerystatement sql timeoutinms defer dataset close if err nil for next err dataset next err nil next next err dataset next record _ dataset getrowrecord fields record getfields for _ field range fields fmt print field getvalue t fmt println else log println err java python c go tens of millions pts s supports ingesting tens of millions of points per second on each node 100 1 compression achieves over 10 1 lossless and up to 100 1 lossy compression millisecond queries enables millisecond level query response for terabyte scale data billions of tags handles tens of thousands of tags per device and billions across devices best practices in the industry addressing scenarios ranging from thousands to billions of data points crrc qingdao sifang contributed to an intelligent o m system for urban rail vehicles deployed on 300 trains each with 3 200 tags for real time monitoring fault and trend analysis decreased data sampling time by 60 reduced number of servers by 87 reduced monthly data increment s storage space by 95 handling 414b data points daily china national nuclear power deployed in nuclear power plants for critical equipment reliability handles big data storage preprocessing real time failure monitoring the platform supports 30 servers and 1 000 containers serves 40k users and stores 100tb data achieving 99 99 reliability second level scheduling and deployment state grid corporation of china contributed to sgcc s precise power control terminals iot platforms real time measurement centers efficiently collects caches aggregates energy data manages millions of daily data increments billions of points cumulatively supports concurrent access to devices real time writing of millions of data points per second bosch rexroth available on the ctrlx automation platform for real time data retrieval and historical time series management allows ingesting high data volumes on low resource hardware integrated into various ctrlx core models enabling data processing and synchronization between edge and central sides in industrial production with limited resources changan automobile applied as time series data solution for a huge fleet of smart connected vehicles currently linked to 570k vehicles with 80m tags ingesting 1 5b points sec boosted diagnostic queries from minutes to milliseconds with identical hardware hunan datang xianyi technology contributed to new energy time series data application system for 60 power plants within the datang group handles 1 7b data points daily at each plant with total data points storage of 30t reduces o m costs by 95 offers custom functions robust queries for analysis needs jd com deployed in multiple sectors digital energy warehouses smart homes fueling digital homes smart cities and energy innovation handles 50m tags per project enabling high throughput writing millisecond level queries 5 years data storage and millions of records per second via cloud edge collaboration avicas generic contributed to developing a cloud system allowing data collection processing and exchange between onboard devices production data storage and cloud based business systems provides efficient real time data acquisition storage and querying solutions leading to significant hardware storage cost savings baosteel contributed to developing a remote intelligent maintenance platform currently manages 200b data points per time series attains a writing speed of 30m points per second a lossless compression ratio of 10 1 and ensures consistent real time high frequency data writing with millisecond ganularity taiji computer enhanced a remote analysis platform for 4 power plants with 11 generator units manages 80k tags covering wind turbines boilers and power transmission devices achieved nanosecond data collection frequencies cutting operational costs by 95 offers advanced data processing like fourier transformation and wavelets china meteorological administration contributed to micaps4 meteorological forecast system development storing real time data from 100k national level observation stations improved real time data processing significantly extended storage duration and access capabilities within the system mcc cisdi group engaged in essential data development and governance for the soil water cloud industrial internet platform manages 30k devices 250k tags writes 1 5b records daily achieved a 132 point increase in writing 50 better compression and 100 faster queries supports 2 years data storage real time visualization via timecho workbench huawei collaborated in developing the mrs time series database improving consistency scalability and introducing enterprise grade attributes including security transmission encryption reliability and operations contributed to diverse enterprises digital transformation and intelligent advancement talkweb applied in building the talkweb iot system establishing a three tier platform for enterprises factories and production lines enabling streamlined device management contributed to a 20 production cycle time reduction 25 higher device utilization a 25 boost in production efficiency and a 10 reduction of energy costs per unit output alibaba cloud contributed to the development of alibaba cloud s maxcompute big data platform enhanced mpp architecture cluster testing cloud edge synchronization and query engines providing advanced iot data solutions for enterprises achieved 99 8 bandwidth reduction and 98 lower query latency compared to the original solution bonc contributed to cloudiip industrial internet platform spanning 20 sectors including metallurgy electric power and chemicals provides robust real time and concurrent big data writing slashing storage expenses by 90 enables historical and real time data queries analytics and cloud based industrial data integration yonyou software applied in building yonbip manufacturing cloud delivering post sales solutions for diverse sectors command center safety monitoring in steel industry production equipment monitoring in chemicals and manufacturing industries onboard operation tracking systems in smart connected vehicles etc guantong futures brokerage developed a real time tick data platform for futures markets stores 20 years of historical tick data from several stock exchanges shfe cffex dce czce covering 67 futures and 1b daily data points ensures reliable system operation and rapid data retrieval read more celebrated by academia and industry drawing global contributors to co create an open source community c mohan ibm fellow member of us national academy of engineering iotdb has attained apache top level project status at a time of confluence of database iot and ai technologies in conjunction with a wider adoption of industry 4 0 and automation approaches to further enable remote work and increased efficiencies xujia liu head of digital innovation center at cnnp iotdb s udf user defined function capability supports online preprocessing of time series data after connecting a large number of measurement points for trend judgment and rule based inference algorithms it enables rolling trend analysis and achieves minute level fault prediction it significantly improves efficiency in terms of network transmission low latency and computational efficiency li huang it supervisor at changan automobile research institute changan automobile utilizes the high io engine model of iotdb achieving millisecond level returns for both single car time range queries and single car full time series latest point queries compared to maintaining two sets of query solutions as before the overall architecture complexity is significantly reduced gang liu iot technology leader at jd technology iotdb has implemented a dedicated model for iot scenarios supporting a hierarchical structure where a single node can manage millions of devices or tens of millions of time series the underlying tsfile with a low schema structure enables plug and play effects at the edge the distributed version of iotdb achieves real time data acquisition and aggregation calculations realizing hierarchical storage management shaofeng xu chief engineer at baowu iem apache iotdb efficiently and stably supports the high throughput and multi frequency writing of massive time series data covering the downsampling analysis of data throughout the entire lifespan of devices that spans up to ten years it also meets the requirements of various data aggregation analysis queries and trend analysis models saving us a significant amount of servers chao wang r d manager of huawei cloud mrs tsdb iotdb is open in terms of protocols and supports a sql interface for convenient development and ease of use it offers seamless integration with big data systems like spark hdfs hive etc enabling full utilization of the computational power of big data components ruibo li head of alibaba cloud s maxcompute ecosystem over the past two years we have maintained close cooperation with the iotdb community apache iotdb with its advanced architecture superior performance open and friendly community has become our preferred choice for big data iot solutions jian bai alibaba cloud expert apache iotdb committer iotdb is a top level apache project and 100 open source it has comprehensive documentation and an active community licensed under the apache 2 0 open source license which is highly business friendly technically iotdb has a robust architecture with a built in large scale parallel processing framework allowing scalable expansion it exhibits excellent performance with high data compression ratio low write latency and low resource requirements making it suitable for edge iot data processing julian feinauer ceo of pragmatic industries gmbh in typical german application scenarios with limited available network bandwidth iotdb achieves out of the box usability and compression ratios down to 20 of the original size thanks to its highly compressed tsfile data transmission this improvement results in approximately 5x performance gain chao wang head of distributed database division at bonc apache iotdb is an open high performance an...