Search Results for "jpk data processing"
Sort By:
Showing 20 open source projects for "jpk data processing"
View related business solutions-
$300 in Free Credit for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credit—no hidden charges. Test, build, and deploy without risk. Use your credit across the Google Cloud platform to find what works best for your needs. After your credits are used, continue building with free monthly usage products. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
Deploy Apps in Seconds with Cloud RunCloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
-
1
GridDB
GridDB is a next-generation open source database
...Multi-model architecture capable of supporting various data stores with time-series data-oriented and pluggable data stores for efficient real-time processing and management of huge amounts of time-series data at high frequency. Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications. -
2
Memgraph
Open-source graph database, tuned for dynamic analytics environments
A high-performance, in-memory graph database designed for real-time analytics and complex network data processing. -
3
ClickHouse
A fast open-source OLAP database management system
...ClickHouse also has exceptional hardware efficiency and a host of other features, including a feature-rich SQL database, vectorized query execution, real-time query processing and data ingestion, and more. -
4
StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
StarRocks is the next generation of real-time SQL engines for enterprise analytics. Real-time analytics is notoriously difficult. Complex data pipelines and de-normalized tables have always been a necessary evil. Processing any updates or deletes once data arrives has not been possible- until now. StarRocks solves these challenges and makes real-time analytics easy. Get amazing query performance on Star or Snowflake Schemas directly. From canceled orders to updated items, your analytics applications can easily handle them with StarRocks. ... -
Managed MySQL, PostgreSQL, and SQL Databases on Google CloudCloud SQL is a fully managed relational database for MySQL, PostgreSQL, and SQL Server. We handle patching, backups, replication, encryption, and failover—so you can focus on your app. Migrate from on-prem or other clouds with free Database Migration Service. IDC found customers achieved 246% ROI. New customers get $300 in credits plus a 30-day free trial.
-
5
KuzuDB
Embeddable property graph database management system
KuzuDB is a high-performance graph database optimized for analytical queries, built from the ground up with a columnar storage engine. It is designed to efficiently process large-scale graph workloads, making it ideal for data science, machine learning, and knowledge graph applications. -
6
DuckDB
DuckDB is an in-process SQL OLAP Database Management System
...DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs), and more. For more information on the goals of DuckDB, please refer to the Why DuckDB page on our website. Processing and storing tabular datasets, e.g. from CSV or Parquet files. Interactive data analysis, e.g. Joining & aggregate multiple large tables. Concurrent large changes, to multiple large tables, e.g. appending rows, adding/removing/updating columns. Large result set transfer to client. For development, DuckDB requires CMake, Python3 and a C++11 compliant compiler. ... -
7
An innovative Open Source CEP (Complex Event Processing) engine. It implements the event stream processing as a library embeddable in C++ and Perl. You can think of the Complex Event Processing engine as an in-memory database driven by triggers, or a data-flow machine, or a spreadsheet on steroids (and without the GUI part).
-
8
Sqlite Index Blaster
Create huge Sqlite indexes at breakneck speeds
SQLite Blaster is an advanced SQLite extension that enhances database performance by enabling multi-threading, data compression, and memory optimizations. It is designed for applications that require fast local storage with improved query efficiency. -
9
AvanceDB
An in-memory database based on the CouchDB REST API
AvanceDB is a high-performance, in-memory database designed to accelerate SQL-based applications. It uses advanced caching techniques to reduce database latency and improve query execution speed, making it ideal for real-time analytics and transactional workloads. -
Ship AI Apps Faster with Vertex AIShip AI apps and features faster with Vertex AI—your end-to-end AI platform. Access Gemini 3 and 200+ foundation models, fine-tune for your needs, and deploy with enterprise-grade MLOps. Build chatbots, agents, or custom models. New customers get $300 in free credit.
-
10
WhirlwindDB
GPU Analytic Database
A SQL based analytic engine running on an NVIDIA GPU for exceptional performance. We see over 700x performance increase over a well known database on the same machine. -
11
InfiniDB is now hosted on github.
-
12
An experimental CEP (Complex Event Processing) engine. It implements the event stream processing as a library embeddable in C++ and Perl. Since then it has been renamed to Triceps, so please look at the new location https://sourceforge.net/projects/t
-
13
ARMR provides a foundation for creating an efficient in-memory database. Its unique list processing structures simplify programming logic and allow the developer to rapidly sort, group, and select data. Give your app a hypercard like capability.
-
14
The main task of the program complex is collection, storage, search and data processing on cards of criminal cases.
-
15
Fennel is a library of data storage and processing components written in C++. It is developed as a sub-project of The Eigenbase Project, and also serves as a substrate for the Farrago project.
-
16
The AutoCodeMachine will generate the business object and logical data processing object according to the table schema from various database . UI is based on WPF
-
17
A lightweight toolkit for efficient processing of XML data. The tools are analagous to the UNIX command-line text processing tools sort, grep, etc. The infrastructure includes an efficient DFA-based engine for streaming evaluation of XPath expressions.
-
18
This library implements an OCaml client interface for an Oracle database. The library is built on top of the OCCI C++ interface available in Oracle 10g. It is efficient and suitable for processing large volumes of data.
-
19
UMDS is small, strong and expansible project. The model offers a uniform method of conceptual view of the diverse data as a sequence of bits and a uniform method of keeping and processing this sequence on the external storage.
-
20
RapDB is a database based on invert lists for representing the domains. Suitable for wide range of applications where accurate and fast processing of large volume data needed in a real time.
- Previous
- You're on page 1
- Next
