Alternatives to Statsbot

Apache Doris is an advanced data warehouse for real time analytics. It delivers lightning fast analytics on real-time, large-scale data. Ingestion of micro-batch data and streaming data within a second. Storage engine with upserts, appends and pre-aggregations in real-time. Optimize for high-concurrency, high-throughput queries using columnar storage engine, cost-based query optimizer, and vectorized execution engine. Federated querying for data lakes like Hive, Iceberg, and Hudi and databases like MySQL and PostgreSQL. Compound data types, such as Arrays, Maps and JSON. Variant data types to support auto datatype inference for JSON data. NGram bloomfilter for text search. Distributed design for linear scaling. Workload isolation, tiered storage and efficient resource management. Supports shared-nothing as well as the separation of storage from compute.

The key to success for today's marketers is understanding exactly where and how to invest their next ad dollar. Singular powers marketers to do just that by providing a complete view of marketing ROI with next-gen attribution, full-funnel marketing data, and best-in-class fraud prevention. With Singular's open integration framework, you are able to measure and report on all the channels you work with, including apps, web, SMS, referrals, email, and TV. Singular also empowers you to analyze your ROI by combining attribution with leading cost aggregation through powerful data connectors that allow yo to unlock marketing performance for every campaign, publisher, creative, and keyword. To keep your ad budgets focused on real users and avoid misreporting, Singular provides you with more detection methods and pre-attribution fraud rejection than any other. Still wondering? Top marketers from LinkedIn, Rovio, Microsoft, Lyft, Twitter, EA, and more, rely on Singular for a complete view of their marketing performance.

Rakam offers verticalized reporting capabilities for different teams' reporting needs. Rakam converts the questions you ask in the user interface to SQL, hiding the complexity for the end-users. rakam does not load data into your data warehouse. It expects you have all data in your data-warehouse. This allows you to analyze the data without having to pull data from outside your data warehouse. This blog post is about the topic. Rakam supports dbt core natively as the data modeling layer. rakam does not run your dbt transforms. Instead, it connects to your GIT repository and synchronizes all your dbt model automatically. rakam can create incremental DBT models. Make use of them to speed your queries and reduce your query costs. rakam creates programmatic roll-up models by hiding the complexity of aggregates in your dbt resources files.

VeloDB, powered by Apache Doris is a modern database for real-time analytics at scale. In seconds, micro-batch data can be ingested using a push-based system. Storage engine with upserts, appends and pre-aggregations in real-time. Unmatched performance in real-time data service and interactive ad hoc queries. Not only structured data, but also semi-structured. Not only real-time analytics, but also batch processing. Not only run queries against internal data, but also work as an federated query engine to access external databases and data lakes. Distributed design to support linear scalability. Resource usage can be adjusted flexibly to meet workload requirements, whether on-premise or cloud deployment, separation or integration. Apache Doris is fully compatible and built on this open source software. Support MySQL functions, protocol, and SQL to allow easy integration with other tools.

A simple-to-use interactive tool that allows data exploration, analysis, visualization and machine learning. Cloud Datalab is an interactive tool that allows you to analyze, transform, visualize, and create machine learning models on Google Cloud Platform. It runs on Compute Engine. It connects to multiple cloud services quickly so you can concentrate on data science tasks. Cloud Datalab is built using Jupyter (formerly IPython), a platform that boasts a rich ecosystem of modules and a solid knowledge base. Cloud Datalab allows you to analyze your data on BigQuery and AI Platform, Compute Engine and Cloud Storage using Python and SQL. JavaScript is also available (for BigQuery user defined functions). Cloud Datalab can handle megabytes and terabytes of data. Cloud Datalab allows you to query terabytes and run local analysis on samples of data, as well as run training jobs on terabytes in AI Platform.

The smart semantic layer unifies metrics and speeds up the delivery of data products by 90% with shorter SQL queries. Model data using business terms for a common meaning and to align business metrics. Define semantic relationships to replace JOINs, making queries much easier. Hierarchies and classifications can help you better understand data. Automatically map data into the semantic model. Join multiple data sources using a powerful SQL engine distributed to query data at a large scale. Consume data in the form of a semantically connected graph. Materialized views and an intelligent cache engine can boost performance and reduce compute costs. Advanced query optimizations are available. Connect to any file format, cloud, datalake, data warehouse, or database. Timbr allows you to work seamlessly with your data sources. Timbr optimizes a query and pushes it to the backend when a query is executed.

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

The ASR 900 Series modular aggregation platform delivers cost-effective converged residential, mobile, and business services. Redundancy, low power consumption and high service scale are all available in routers that are packed with useful features. They are optimized for small aggregation or remote point-of presence (POP) applications. Provide a better broadband customer experience. This series supports broadband aggregation of voice, video, data, as well as mobility services. It supports thousands of subscribers and QoS scales up to large numbers of queues per device. The series is used as a preaggregation platform for mobile backuphaul. It can aggregate cell sites and use MPLS to transport RAN backhaul traffic. Get the timing services you need in today's converged networks. The series provides integrated support for a variety interfaces and can act to provide network clocking for GPS or other interfaces.

Power Query makes it easy to connect, extract and transform data from a variety of sources. Power Query is a data preparation and transformation engine. Power Query includes a graphical interface to retrieve data from sources, and a Power Query Editor to apply transformations. The destination where the data will be stored is determined by where Power Query was installed. Power Query allows you to perform the extraction, transform, load (ETL), processing of data. Microsoft's Data Connectivity and Data Preparation technology allows you to seamlessly access data from hundreds of sources and modify it to your requirements. It is easy to use and engage with, and requires no code. Power Query supports hundreds data sources with built in connectors and generic interfaces (such REST APIs and ODBC, OLE and DB) as well as the Power Query SDK for creating your own connectors.

Embedded Data Virtualization allows you to extend your applications with unified data connectivity. CData Query Federation Drivers are a universal data access layer that makes it easier to develop applications and access data. Through a single interface, you can write SQL and access data from 250+ applications and databases. The CData Query Federation Driver provides powerful tools such as: * A Single SQL Language and API: A common SQL interface to work with multiple SaaS and NoSQL, relational, or Big Data sources. * Combined Data Across Resources: Create queries that combine data from multiple sources without the need to perform ETL or any other data movement. * Intelligent Push-Down - Federated queries use intelligent push-down to improve performance and throughput. * 250+ Supported Connections: Plug-and–Play CData Drivers allow connectivity to more than 250 enterprise information sources.

Every change you make should be checked in. To ensure your API runs smoothly, you can swap versions via history. Customers can see up to 3x faster indexing using our subgraph-optimized precaching infrastructure. Create streams using SQL from subgraphs or other streams, get persistent aggregates with no lag, access the result through bridges, and create streams with SQL. Sub-second, reorg aware ETL to tools such as Timescale, Elasticsearch, Hasura, Timescale, and many more. Combine subgraphs from multiple chains into one stream and query expensive aggregates in milliseconds. Layer streams on streams, join off-chain data, to create your unique, real-time view. Run resilient webhooks, run analytic queries, fuzzy search, or any other type of query. Bridge streams and subgraphs can be used to connect to databases such as Elasticsearch and Timescale, or directly to a hosted GraphQL API.

Ottava is a data management and analysis tool that combines Excel-based workflows seamlessly with advanced data analysis. It is designed for non-technical users. It streamlines data input, chart creation and analysis by combining conventional approaches with innovative solutions to create a seamless user-experience. Ottava is a data analytics platform that excels at handling pre-aggregated data or pivoting. Ottava is different from conventional tools, which require users to prepare tabular information before diving into detailed analysis. Ottava allows users to input, explore and extract insights directly out of already aggregated or pivoted tables. This unique capability simplifies the analytic journey, saves time and allows users uncover hidden patterns and valuable information in their data. It facilitates more insightful decision making.

Compass, the GUI created by and for MongoDB, allows you to easily work with your data. Compass offers everything you need, from schema analysis to index optimization to aggregation pipes, in one centralized interface. To understand your data better, you can dissect your document schema. Compass analyzes your documents and samples them to provide detailed metadata about your collections, including the most common values and ranges of dates and integers. Compass' built in query bar makes it easy to find the data you need. You can filter the documents in your collection with intuitive query operators that correspond with expressions in other languages. You can sort, sample, and modify the results with great granularity. To optimize queries, add new indexes or remove underperforming ones, monitor real-time database and server metrics, investigate performance problems with the visual explain plan, among other things.

The Raijin Database uses flat JSON records to deal with sparse information. The Raijin Database supports SQL query language as its primary query language, while removing some limitations. Data compression not only saves space, but also gives you a boost in performance with modern CPUs. Many NoSQL solutions lack or are inefficient at supporting analytical queries. Raijin DB supports group-by and aggregations using standard SQL syntax. Large amounts of data can be processed with vectorized execution and cache-friendly algorithm. It is supported by optimized SIMD instructions (SSE2/AVX2), and a modern compressed hybrid columnar store layer. This ensures that your CPUs do not waste cycles. This allows for data crunching that is up to a factor of ten times faster than other solutions written in higher-level languages or interpreted languages, which can be inefficient at processing large data amounts.

Kater was designed for data professionals as well as data curious people. All organized data products can be used by anyone with a data query, even if they don't know a word of SQL. Kater's goal is to connect ownership of data across your company's business domains. Butler connects securely to your data warehouse metadata and objects, allowing you to code, discover data and do so much more. Optimize your data with intelligent automatic labeling, data curation, and categorization. We can help you define the semantic layer, metric layers, and general documentation. Validated answers are saved in the query database for smarter and more accurate responses.

Controlling and optimising costs is a breeze with our insights and recommendations suite. Our models calculate costs to the smallest granularity. Understanding the cost of a single table or query is important. Aggregate workloads to understand the cost of data over time. Understanding which actions will produce which results. Keep your team focused on the important tech debt. Learn how to configure data workloads in the most cost-effective way. Save money without having to rewrite queries or drop table. By recommending query recommendations, you can educate your team. Balance effort and impact to ensure optimal ROI. With increments, teams can save up to 30 percent of their costs.

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.

Ocient Hyperscale Data Warehouse transforms data and loads it in seconds. It enables organizations to store more data and run queries on hyperscale data up to 50x faster. Ocient completely reimagined their data warehouse design in order to deliver next-generation data analysis. Ocient Hyperscale Data Warehouse provides storage next to compute to maximize performance on industry standard hardware. It allows users to transform, stream, or load data directly and returns previously unfeasible queries within seconds. Ocient has benchmarked query performance levels that are up to 50x higher than comparable products. The Ocient Hyperscale Data Warehouse empowers next generation data analytics solutions in key areas that are lacking existing solutions.

Kibana is a free, open-source user interface that allows you to visualize your Elasticsearch data as well as navigate the Elastic Stack. You can track query load and understand how requests flow through your apps. Kibana allows you to choose how you want to present your data. Start with one question to see what interactive visualizations lead you. Kibana core ships the classics: histograms and line graphs, pie charts and pie charts, as well as sunbursts and sunbursts. You can also search across all your documents. Use Elastic Maps to explore your location data. Or get creative and visualize custom layers or vector shapes. Our curated time series interfaces allow you to perform advanced analysis of your Elasticsearch data. Use powerful, easy to learn expressions to describe queries, transformations, or visualizations.

Appsmith is an open-source low code platform to build custom applications and internal tools. Appsmith has an intuitive drag and drop interface, along with the flexibility to connect databases and APIs. Add to this, the ease of sharing and collaborating with teammates. Build dashboards, admin panels, CRUD apps, forms, etc, and make them more dynamic and robust by writing custom logic with JavaScript.

dbForge Monitor is a free tool designed to provide in-depth insights into SQL Server performance. It offers detailed statistics on key parameters, helping you quickly identify and resolve issues. Key Features: - Real-time Monitoring: Track all SQL Server activities in real time. - Analytical Dashboard: Access a rich collection of metrics for real-time performance analysis. - Query Optimization: Detect and optimize the most resource-intensive queries. - Heavy Query Display: View query text and profiling information for demanding queries. - Active Session Tracking: Monitor active sessions for each database, including logged-in users and their applications. - Backup Process Tracing: Get key statistics on backup processes. - Data I/O Statistics: Access detailed information on data input and output operations. - Summary Statistics: View essential metrics for all SQL Server databases. - Resource Identification: Quickly identify resources that are causing server slowdowns. dbForge Monitor aims to simplify SQL Server analysis for administrators. Providing a comprehensive overview of servers, databases, and queries can save database specialists many hours of manual work.

Serverless computing is perfect for systems with unpredictable load. Storage scaling, query execution and backup layers are all fully automated. The compatibility of AWS SDKs in serverless mode allows for Java, JavaScript Node.js.NET PHP Python Ruby. YDB is hosted across three availability zones to ensure availability, even if a zone or node goes offline. The system will automatically recover and continue working if equipment or data centers fail. YDB can handle hundreds of thousands transactions per second and has low latency. The system was designed for hundreds of petabytes.

Work with data to save time. Connect to your data sources and instantly generate optimal SQL to get lightning fast information. You can get instant information even if you don't understand SQL. You can also use natural language to generate high-performance SQL queries for your complex queries. AI suggestions will also help you correct errors and optimize the performance. The AI SQL editor allows developers to write complex SQL queries more quickly and accurately, saving time and improving efficiency. We will configure the type, comment, and password for you based on the table and column names. This saves you 90% of time. Imports and Exports Data in Multiple Formats (CSV, XLSX, XLS, SQL) for Exchange, Backup, and Migration. Transfers data from one database to another or via cloud services as a backup solution.

Intelligent visual designer to create UI, data layer, and workflows for your application. React and NodeJS produce elegant source code. Use the language and framework that you like. The widely-used architecture for designing your application uses React, Redux, and React-router as the frontend. NodeJS + Express is used for the backend. Once you have created your application view, it is easy to populate your components with real data using a visual SQL query maker. The components reflect the query data immediately. Drag and drop components to create complex user interfaces for business applications. It's as simple as using a mockup program. Our designer is skilled enough to convert your designs into a beautiful bootstrap theme. We automate repetitive tasks so that you can focus on the important things.

You can use Ignite as a traditional SQL Database by leveraging JDBC drivers or ODBC drivers. Or, you can use the native SQL APIs for Java, C# and C++, Python, or other programming languages. You can easily join, group, aggregate, or order your distributed on-disk and in-memory data. You can accelerate your existing applications up to 100x by using Ignite as an in memory cache or in-memory grid that is deployed over one of several external databases. You can query, transact, and calculate on this cache. Ignite is a database that scales beyond your memory capacity to support modern transactional and analytical workloads. Ignite allocates memory to your hot data and writes to disk when applications query cold records. Execute custom code up to kilobytes in size over petabytes. Your Ignite database can be transformed into a distributed supercomputer that can perform low-latency calculations, complex analysis, and machine learning.

Interactive querying that is serverless for analyzing data stored in IBM Cloud Object Storage. You can query your data right where it is stored - there are no ETL, databases or infrastructure to manage.

LINQPad can be used for more than just LINQ queries. It can also be used to create C#/F#/VB expressions, statement blocks, and programs. Stop storing hundreds of Visual Studio Console projects in your source folder. Join the revolution of LINQPad scripters, incremental developers and LINQPad scripters. Refer to your own assemblies and NuGet package. You can prototype your ideas in LINQPad, and then you can paste the code into Visual Studio. You can also call your scripts directly via the command-line. LINQPad offers rich output formatting, autocompletion and optional debugger, as well as dynamic development and instant feedback. Are you tired of using outdated SQL to query your data? You don't need to query in outdated SQL! LINQPad allows you to interactively query databases using a modern query language, LINQ. LINQPad has an optimized engine that creates typed data contexts quickly and includes drivers and formatters to support SQL Server, SQL Azure and SQL CE, Oracle and SQLite.

FastQueryBuilder is a visual SQL query builder that is easy to use. It can be used with both client-server and local databases. Your customers can create DB queries with no SQL! FastQueryBuilder allows you to work with both client-server and local databases using the BDE. It also allows you access other data-access components like ADO, IBX, and FIBPlus. Main features: - Supports Embarcadero, (ex Borland & ex CodeGear), Delphi, C++Builder 4-7, RAD Studio 2005-2009, and Lazarus. - Displays a visual representation of the query for editing and use. Visual Query Designer can be embedded into any window of your application. - FastQueryBuilder can be integrated into any window. - Allows for full visual customization of query parameters. It's easy to query a DB. Just open FastQueryBuilder -> create a query -> view the result.

Amazon Neptune is a fully managed graph database service that allows you to quickly and reliably build applications that can work with highly connected data sets. Amazon Neptune's core is a purpose-built graph database engine that can store billions of relationships and query the graph with only milliseconds latency. Amazon Neptune supports the popular graph models Property Graph, W3C's RDF, as well as their respective query languages Apache TinkerPop Gremlin, SPARQL. This allows you to quickly build queries that efficiently navigate large datasets. Neptune supports graph use cases like recommendation engines, fraud detection and knowledge graphs. It also powers network security and drug discovery.

PuppyGraph allows you to query multiple data stores in a single graph model. Graph databases can be expensive, require months of setup, and require a dedicated team. Traditional graph databases struggle to handle data beyond 100GB and can take hours to run queries with multiple hops. A separate graph database complicates architecture with fragile ETLs, and increases your total cost ownership (TCO). Connect to any data source, anywhere. Cross-cloud and cross region graph analytics. No ETLs are required, nor is data replication. PuppyGraph allows you to query data as a graph directly from your data lakes and warehouses. This eliminates the need for time-consuming ETL processes that are required with a traditional graph databases setup. No more data delays or failed ETL processes. PuppyGraph eliminates graph scaling issues by separating computation from storage.

A streaming database is designed to store, process, analyze, and ingest large data streams. It is a modern data infrastructure which unifies messaging, stream processing and storage to help you get the most out of your data in real time. Massive amounts of data are continuously ingested from many sources, including IoT device sensor sensors. A specially designed distributed streaming data storage cluster can store millions of data streams securely. Subscribe to HStreamDB topics to access data streams in real time as fast as Kafka. You can access and playback data streams at any time thanks to the permanent stream storage. Data streams can be processed based on event-time using the same SQL syntax that you use to query relational databases. SQL can be used to filter, transform and aggregate multiple data streams.

Oracle Autonomous Data Warehouse, a cloud-based data warehouse service, eliminates the complexity of operating a data warehouse, data warehouse center, or dw cloud. It also makes it easy to secure data and develop data-driven apps. It automates provisioning and tuning, scaling, security, tuning, scaling, as well as backing up the data warehouse. It provides tools for self-service data loading and data transformations, business models and automatic insights. There are also built-in converged databases capabilities that allow for simpler queries across multiple types of data and machine learning analysis. It is available in both the Oracle cloud public and customers' data centers using Oracle Cloud@Customer. DSC, an industry expert, has provided a detailed analysis that demonstrates why Oracle Autonomous Data Warehouse is a better choice for most global organizations. Find out about compatible applications and tools with Autonomous Data Warehouse.

AI will do the heavy lifting by using simple English. AI Query allows anyone to create efficient SQL queries without having to know anything about the database. With simple text prompts, you can quickly create SQL queries once your database schema has been created. Let the AI do all the work.

Hydrolix is a streaming lake of data that combines decoupled archiving, indexed searching, and stream processing for real-time query performance on terabyte scale at a dramatically lower cost. CFOs love that data retention costs are 4x lower. Product teams appreciate having 4x more data at their disposal. Scale up resources when needed and down when not. Control costs by fine-tuning resource consumption and performance based on workload. Imagine what you could build if you didn't have budget constraints. Log data from Kafka, Kinesis and HTTP can be ingested, enhanced and transformed. No matter how large your data, you will only get the data that you need. Reduce latency, costs, and eliminate timeouts and brute-force queries. Storage is decoupled with ingest and queries, allowing them to scale independently to meet performance and cost targets. Hydrolix's HDX (high-density compress) reduces 1TB to 55GB.

Parallel query engine with symbol- and time-indexed data access. Extended SQL syntax with advanced filtering, aggregations and more. Consolidate all quotes, trades and snapshots in one place. Strategy backtesting using high-frequency data. Quantitative and market microstructure analysis. Granular transaction cost analysis and rollup report. Market surveillance and anomaly detection. Non-transparent ETF/ETN decomposition. FAST, SBE and proprietary protocols. Plain text protocol. Consolidated and direct feeds. Built-in latency monitoring tools. End-of-day archives. ETL from retail and institutional financial data platforms. Parallel SQL engine with syntax extensions. Advanced filtering via trading session, auction stage, and index composition. Optimized aggregates to OHLCV and VWAP calculations. Interactive SQL console with auto completion. API endpoint for programmatic integrtion. Scheduled SQL reporting via email, file, or web delivery. JDBC and ODBC drivers.

upscaledb, a key-value database that optimizes storage and algorithms for specific data types, is fast. Optional compression can further reduce file size and I/O. It can also keep more data in memory to improve performance and scalability for full-table scans to query the data and analyze it. upscaledb is able to create all functions of a typical SQL Database, customized to your application's needs, and can be directly linked to your program. Its database cursors and fast analytical functions make it an ideal choice to process data when a SQL database is slow enough. Applications that use upscaledb can be deployed on millions of desktops as well as cloud instances and embedded devices. This benchmark runs a full table scan of 50 million records and retrieves maximum. These records are configured with uint32 values.

SelectDB is an advanced data warehouse built on Apache Doris. It supports rapid query analysis of large-scale, real-time data. Clickhouse to Apache Doris to separate the lake warehouse, and upgrade the lake storage. Fast-hand OLAP system carries out nearly 1 billion queries every day in order to provide data services for various scenes. The original lake warehouse separation was abandoned due to problems with storage redundancy and resource seizure. Also, it was difficult to query and adjust. It was decided to use Apache Doris lakewarehouse, along with Doris's materialized views rewriting capability and automated services to achieve high-performance query and flexible governance. Write real-time data within seconds and synchronize data from databases and streams. Data storage engine with real-time update and addition, as well as real-time polymerization.

You can say goodbye to the frustrations of writing complex SQL statements! Import your database structure, and then type your desired query on a user-friendly GUI. Generate complex SQL queries effortlessly. The AI-driven query generator will make it easy to create the perfect query. Find and fix errors within your queries. Spend less time debugging your SQL code. Learn how queries work in detail to gain a better understanding. Learn the logic of each query, and the results that it will produce. Automatic formatting can improve the readability and understanding of your queries. Keep your code clear, clean, and easy-to-read. With an intuitive and user-friendly platform, you can generate, fix, explain and format SQL queries. AI-driven features unlock the full potential of data. Database Sensei offers a service to developers, database administrators and students who are looking for faster results.

KX Streaming Analytics allows you to ingest and store historical and time series data. This data can then be processed, stored, processed, and analyzed instantly to provide analytics, insights, or visualizations. The platform offers the complete lifecycle of data services to ensure that your applications and users can be productive quickly. This includes query processing, query processing, tiering and migration, archiving and data protection. Our advanced analytics and visualization tools are widely used in finance and industry. They allow you to create and execute queries, calculations, aggregations and machine learning on any streaming or historical data. Data can be used across multiple hardware environments and can come from high-volume sources such as clickstreams, radio frequency identification, GPS systems and social networking sites.

Log management and security analytics solutions can be implemented to improve compliance and speed up forensic investigation. Big-data search, visualization and reporting are key to identifying and defeating threats. You can access terabytes from any source. SmartConnectors can make SIEM log management easier. They collect, normalize and aggregate data from over 480 source types. Source types include clickstreams, stream traffic, security devices and web servers. The columnar database of ArcSight Recon responds faster to queries than traditional databases. This allows you to efficiently and quickly investigate millions of events. It allows for threat hunting in large datasets, which allows security analytics at scale. ArcSight Recon reduces compliance burden by providing content that facilitates regulatory requirements. Its built-in reports reduce the time it takes to document compliance.

Switchboard, a data engineering automation platform that is driven by business teams, allows you to aggregate disparate data at scale and make better business decisions. Get timely insights and precise forecasts. No more outdated manual reports or poorly designed pivot tables that don’t scale. Directly pull data from the right formats and reconfigure them in a non-code environment. Reduce dependency on engineering teams. API outages, bad schemas and missing data are gone thanks to automatic monitoring and backfilling. It's not a dumb API. Instead, it's an ecosystem of pre-built connectors which can be quickly and easily adapted to transform raw data into strategic assets. Our team of experts have worked in data teams at Google, Facebook, and other companies. These best practices have been automated to improve your data game. Data engineering automation platform that enables authoring and workflow processes. It is designed to scale with terabytes.

Tabular is a table store that allows you to create an open table. It was created by the Apache Iceberg creators. Connect multiple computing frameworks and engines. Reduce query time and costs up to 50%. Centralize enforcement of RBAC policies. Connect any query engine, framework, or tool, including Athena BigQuery, Snowflake Databricks Trino Spark Python, Snowflake Redshift, Snowflake Databricks and Redshift. Smart compaction, data clustering and other automated services reduce storage costs by up to 50% and query times. Unify data access in the database or table. RBAC controls are easy to manage, enforce consistently, and audit. Centralize your security at the table. Tabular is easy-to-use and has RBAC, high-powered performance, and high ingestion under the hood. Tabular allows you to choose from multiple "best-of-breed" compute engines, based on their strengths. Assign privileges to the data warehouse database or table level.

An entity framework for Go. ORM that is simple yet powerful for modeling and querying data. Simple API to model any database schema in Go objects. Run queries and aggregations, and traverse any graph easily. Code generation for a 100% statically-typed and explicit API. The latest version includes a type-safe, explicit API that allows ordering by fields and edge. This API will be available soon in our GraphQL Integration. With one command, you can visualize your Ent schema in an ERD. The API allows you to easily implement features such as caching, logging, tracing and even soft deletion in just 20 lines of code. Ent framework supports GraphQL by using the 99designs/gqlgen libraries and provides multiple integrations. Generating a GraphQL Schema for nodes and edge defined in an Ent Schema. Efficient field collection without data loaders to overcome the N+1 issue.

Splunk makes it easy to go from data to business results faster than ever before. Splunk Enterprise makes it easy to collect, analyze, and take action on the untapped value of big data generated by technology infrastructures, security systems, and business applications. This will give you the insight to drive operational performance, and business results. You can collect and index logs and machine data from any source. Combine your machine data with data stored in relational databases, data warehouses, Hadoop and NoSQL data storages. Multi-site clustering and automatic loads balancing scale can support hundreds of terabytes per day, optimize response time and ensure continuous availability. Splunk Enterprise can be customized easily using the Splunk platform. Developers can create custom Splunk apps or integrate Splunk data in other applications. Splunk, our community and partners can create apps that enhance and extend the power and capabilities of the Splunk platform.

Your data can be used to improve the outcomes of your clinic and patients. InSightive converts your oncology data to insights that you can immediately put into use. Use oncology-specific relationships to normalize and structure your data. Tableau visualization is a market leader and uses oncology-specific tools to improve clinical performance. You can use InSightive in ARIA, a standalone desktop program, or any web browser. Quickly customize templates to help you work with payer mix, referrals, and operational performance. Quickly aggregate activity data and get operational insights. Our service makes it easy to query your data in new and thoughtful ways. You will see your query results in minutes, which means you can change policies or treatments in just hours. Your patients will benefit from the experience of all previous patients. Varian can be integrated into your workflow by our data specialists.

ClickHouse is an open-source OLAP database management software that is fast and easy to use. It is column-oriented, and can generate real-time analytical reports by using SQL queries. ClickHouse's performance is superior to comparable column-oriented database management software currently on the market. It processes hundreds of millions of rows to more than a million and tens if not thousands of gigabytes per second. ClickHouse makes use of all hardware available to process every query as quickly as possible. Peak processing speed for a single query is more than 2 Terabytes per Second (after decompression, only utilized columns). To reduce latency, reads in distributed setups are automatically balanced between healthy replicas. ClickHouse supports multimaster asynchronous replication, and can be deployed across multiple datacenters. Each node is equal, which prevents single points of failure.

Velocity is an animation engine that uses the same API as jQuery animate. It can be used with or without jQuery. It is extremely fast and supports color animation, loops and easings as well as SVG support and scrolling. It combines the best of jQuery with CSS transitions. Velocity can be downloaded and placed on your page. It will replace all instances jQuery's animated with velocity. You will notice a significant performance improvement across all browsers and devices, particularly on mobile. Velocity works on all browsers, including IE8 and Android 2.3. It mimics jQuery’s queue and interoperates seamlessly and seamlessly with jQuery’s animate, fade and delay. Your code doesn't have to change because Velocity's syntax matches animate. JavaScript and jQuery can be mistakenly conflated. Velocity uses JavaScript animation. jQuery animation is slower. Velocity is a companion to jQuery but it uses its own animation stack which delivers its performance.

This bundle includes everything you need to be able to use MongoDB effectively. Our no-code Admin Panel is for non-technical staff members. We also offer lightweight, flexible Dashboards for executives and PMs. Finally, our Query Editor is for engineers' daily data analysis and debugging. With Widgets, you can visualize individual data points in vibrant and expressive forms. Your boolean values can be transformed into green and red dot, your image URLs into actual photos, or your dates into relative ones. It's easier than ever to create a form. It's just a click away. Our intelligent search engine interprets your requests and converts them into optimized MongoDB query queries. If you want to have more control over your search queries you can switch to query mode and type any MongoDB expression that you would normally use in the shell.

Open, hybrid data lakes for AI and analytics can be used to put your data to use, wherever it is located. Connect your data in any format and from anywhere. Access it through a shared metadata layer. By matching the right workloads to the right query engines, you can optimize workloads in terms of price and performance. Integrate natural-language semantic searching without the need for SQL to unlock AI insights faster. Manage and prepare trusted datasets to improve the accuracy and relevance of your AI applications. Use all of your data everywhere. Watsonx.data offers the speed and flexibility of a warehouse, along with special features that support AI. This allows you to scale AI and analytics throughout your business. Choose the right engines to suit your workloads. You can manage your cost, performance and capability by choosing from a variety of open engines, including Presto C++ and Spark Milvus.

Aircloak Insights acts as a transparent proxy between analysts and sensitive data. Analysts can query the system as normal using SQL or dashboards such as Tableau. Aircloak Insights intercepts the query, and tailors it according to the data backend. This could be SQL or a NoSQL large data store. The proxy returns the results, which ensures that they are fully anonymized and aggregated. Aircloak Insights can be integrated directly into your existing workflow. Insights Air allows you to query sensitive data using our web interface Insights. Aircloak Insights also supports connections using business intelligence tools such as Tableau, and other tools that can communicate with Postgres Message Protocol. Aircloak Insights allows you to programmatically run queries using a RESTful interface.