Alternatives to Space and Time

ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys

Domo puts data to work for everyone so they can multiply their impact on the business. Underpinned by a secure data foundation, our cloud-native data experience platform makes data visible and actionable with user-friendly dashboards and apps. Domo helps companies optimize critical business processes at scale and in record time to spark bold curiosity that powers exponential business results.

ClicData is the first cloud-based 100% cloud-based Business Intelligence software and data management software. Our data warehouse makes it easy to combine, transform, and merge data from any source. You can create interactive dashboards that are self-updated and shareable with your manager, team, or customers in multiple ways. Email delivery schedule, export, or dynamic dashboards via LiveLinks. ClicData automates everything, including data connection, data refresh, management, and scheduling routines.

Smart Software, a leading provider in demand planning, inventory optimization, and supply chain analytics solutions, is based in Belmont, Massachusetts USA. Smart Software was founded in 1981 and has helped thousands of customers plan for future demands using industry-leading statistical analysis. Smart Inventory Planning & Optimization is the company's next generation suite of native web apps. It helps inventory-carrying organizations reduce inventory, improve service levels, and streamline Sales, Inventory, Operations Planning. Smart IP&O is a Digital Supply Chain Platform that hosts three applications: dashboard reporting, inventory optimization, demand planning. Smart IP&O acts as an extension to our customers' ERP systems. It receives daily transaction data, returns forecasts and stock policy values to drive replenishment planning and production planning.

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.

Amazon Redshift is preferred by more customers than any other cloud data storage. Redshift powers analytic workloads for Fortune 500 companies and startups, as well as everything in between. Redshift has helped Lyft grow from a startup to multi-billion-dollar enterprises. It's easier than any other data warehouse to gain new insights from all of your data. Redshift allows you to query petabytes (or more) of structured and semi-structured information across your operational database, data warehouse, and data lake using standard SQL. Redshift allows you to save your queries to your S3 database using open formats such as Apache Parquet. This allows you to further analyze other analytics services like Amazon EMR and Amazon Athena. Redshift is the fastest cloud data warehouse in the world and it gets faster each year. The new RA3 instances can be used for performance-intensive workloads to achieve up to 3x the performance compared to any cloud data warehouse.

Materialize is a reactive database that provides incremental view updates. Our standard SQL allows developers to easily work with streaming data. Materialize connects to many external data sources without any pre-processing. Connect directly to streaming sources such as Kafka, Postgres databases and CDC or historical data sources such as files or S3. Materialize allows you to query, join, and transform data sources in standard SQL - and presents the results as incrementally-updated Materialized views. Queries are kept current and updated as new data streams are added. With incrementally-updated views, developers can easily build data visualizations or real-time applications. It is as easy as writing a few lines SQL to build with streaming data.

Apache Druid, an open-source distributed data store, is Apache Druid. Druid's core design blends ideas from data warehouses and timeseries databases to create a high-performance real-time analytics database that can be used for a wide range of purposes. Druid combines key characteristics from each of these systems into its ingestion, storage format, querying, and core architecture. Druid compresses and stores each column separately, so it only needs to read the ones that are needed for a specific query. This allows for fast scans, ranking, groupBys, and groupBys. Druid creates indexes that are inverted for string values to allow for fast search and filter. Connectors out-of-the box for Apache Kafka and HDFS, AWS S3, stream processors, and many more. Druid intelligently divides data based upon time. Time-based queries are much faster than traditional databases. Druid automatically balances servers as you add or remove servers. Fault-tolerant architecture allows for server failures to be avoided.

Web3 indexing is fast and reliable. Real-time, flexible blockchain data APIs. No rate limits, low latency and multi-chain. With seamless access to both on- and offline-chain data, web3 development is simplified. Prices, metadata, and cached token media. Token metadata and pricing feed. Logs and full transaction data. Search for token balances and transactions. Search for addresses, collections, and tokens. Access data defined by your own indexing patterns. For custom endpoints, specify contract ABIs and events. Fast backfill and immediate fill. RESTful endpoints deliver at sub-second latency with zero downtime. Register for on-chain activities that interest you. With nxyz, you can build crypto-powered apps in seconds. To get the fastest API for web3 developers, read the docs. It is possible to scale across billions of users, enabling millions of queries per second.

Perun is an offchain framework that supports real time payments and complex business logic. It can also supercharge any existing blockchain. Perun allows people to connect across multiple blockchains. It also allows interoperability among different currencies and blockchain networks. Layer-2-Technology allows for massively increased throughput and instant transactions. Virtual channel technology is able to keep your transaction data confidential and is continuously proven secure to ensure state-of-the art procedures. Perun supports payments via NFC and Bluetooth without the need for an active internet connection. State Channels are the first component of Perun’s off-chain framework. State Channels enable users to perform large transactions off-chain while the security is provided by the underlying blockchain. Our protocols have been tested using cutting-edge cryptographic research methods.

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.

StarkEx generates validity verifications to ensure that only valid data is committed on-chain from computations that have been performed with integrity. StarkEx's huge scaling capabilities are due to the uneven division of computation between the off-chain prover (or on-chain verifier). StarkEx powers self custodial dApps and employs innovative anticensorship mechanisms that ensure that users' funds remain in their custody. StarkEx was designed to meet a wide range of user and application requirements. Applications that want to integrate with StarkEx will arrive on Mainnet in a few weeks, depending on their maturity. State updates can be considered finalized once they have been verified on-chain with validity proofs. This is often quicker than fraud proofs which can take up to a few hours.

BryteFlow creates the most efficient and automated environments for analytics. It transforms Amazon S3 into a powerful analytics platform by intelligently leveraging AWS ecosystem to deliver data at lightning speed. It works in conjunction with AWS Lake Formation and automates Modern Data Architecture, ensuring performance and productivity.

Rapidly create your own DWH. Quickly create your own DWH and start creating reports. The Datavault Builder, a 4th generation Data Warehouse automation software, covers all phases and aspects of a DWH. You can quickly set up your agile Data Warehouse and start delivering business value within the first sprint by following a standard industry process. Merger&Acquisitions and affiliated companies, sales performance, and supply chain management. Data integration is crucial in all of these cases, and many others. These settings are perfectly supported by Datavault Builder. This tool is not only a tool but a standard workflow.

A cloud database that can scale to handle large streaming data sets. Kinetica harnesses modern vectorized processors to perform orders of magnitude faster for real-time spatial or temporal workloads. In real-time, track and gain intelligence from billions upon billions of moving objects. Vectorization unlocks new levels in performance for analytics on spatial or time series data at large scale. You can query and ingest simultaneously to take action on real-time events. Kinetica's lockless architecture allows for distributed ingestion, which means data is always available to be accessed as soon as it arrives. Vectorized processing allows you to do more with fewer resources. More power means simpler data structures which can be stored more efficiently, which in turn allows you to spend less time engineering your data. Vectorized processing allows for incredibly fast analytics and detailed visualizations of moving objects at large scale.

Azure Synapse is the Azure SQL Data Warehouse. Azure Synapse, a limitless analytics platform that combines enterprise data warehouse and Big Data analytics, is called Azure Synapse. It allows you to query data at your own pace, with either serverless or provisioned resources - at scale. Azure Synapse combines these two worlds with a single experience to ingest and prepare, manage and serve data for machine learning and BI needs.

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.

Palo helps enterprises create the PB level MPP architecture data warehouse services in just a few minutes and import massive data from RDS BOS and BMR. Palo is able to perform multi-dimensional analysis of big data. Palo is compatible to mainstream BI tools. Data analysts can quickly gain insights by analyzing and displaying the data visually. It has an industry-leading MPP engine with column storage, intelligent indexes, and vector execution functions. It can also provide advanced analytics, window functions and in-library analytics. You can create a materialized table and change its structure without suspending service. It supports flexible data recovery.

Machine learning is now possible with an off-chain analytics oracle. Bird is a new decentralized oracle which empowers blockchain developers with plug-and-play analytics products for next generation web platforms. Bird has created an ecosystem that allows you to feed both on-chain and offline data streams into cutting-edge machine-learning models. Our analytics products are accessible via decentralized oracles, allowing anyone to create dApps that can be tailored for each user. Machine learning can be used to deliver a new web 3.0 experience through blockchain data networks. Bird's trusted, anonymous oracle interface makes it possible for everyone. Developers can interface with Bird Oracle whenever a wallet is connected via web3.0 platforms to retrieve analytics products specific for that address and update products and services to optimize, engage, and convert.

Apache Kylin™, an open-source distributed Analytical Data Warehouse (Big Data), was created to provide OLAP (Online Analytical Processing), in this big data era. Kylin can query at near constant speed regardless of increasing data volumes by renovating the multi-dimensional cube, precalculation technology on Hadoop or Spark, and thereby achieving almost constant query speed. Kylin reduces query latency from minutes down to a fraction of a second, bringing online analytics back into big data. Kylin can analyze more than 10+ billion rows in less time than a second. No more waiting for reports to make critical decisions. Kylin connects Hadoop data to BI tools such as Tableau, PowerBI/Excel and MSTR. This makes Hadoop BI faster than ever. Kylin is an Analytical Data Warehouse and offers ANSI SQL on Hadoop/Spark. It also supports most ANSI SQL queries functions. Because of the low resource consumption for each query, Kylin can support thousands upon thousands of interactive queries simultaneously.

A data virtualization solution for enterprise data that allows access to multiple data sources and delivers the data and IT-curated data services foundation needed for almost any solution. The TIBCO®, Data Virtualization system is a modern data layer that addresses the changing needs of companies with mature architectures. Eliminate bottlenecks, enable consistency and reuse, and provide all data on demand in a single logical level that is governed, secure and serves a diverse user community. You can access all data immediately to develop actionable insights and take immediate action. Users feel empowered because they can search and select from a self service directory of virtualized business information and then use their favorite analytical tools to get results. They can spend more time analysing data and less time searching.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

Actian Avalanche, a fully managed hybrid cloud service for data warehouse, is designed from the ground up in order to deliver high performance across all dimensions (data volume, concurrent users, and query complexity) at a fraction the cost of other solutions. It is a hybrid platform that can be deployed both on-premises and on multiple clouds including AWS Azure, Google Cloud, and Azure. This allows you to migrate and offload data to the cloud at your pace. Actian Avalanche offers the best price-performance ratio in the industry without the need for optimization or DBA tuning. You can get substantially better performance at a fraction of the cost of other solutions or choose the same performance at a significantly lower price. Avalanche, for example, offers up to 6x the price-performance advantages over Snowflake according to GigaOm’s TPC-H industry benchmark and more than many other appliance vendors.

GeoSpock DB - The space-time analytics database - allows data fusion in the connected world. GeoSpockDB is a unique cloud-native database that can be used to query for real-world applications. It can combine multiple sources of Internet of Things data to unlock their full potential, while simultaneously reducing complexity, cost, and complexity. GeoSpock DB enables data fusion and efficient storage. It also allows you to run ANSI SQL query and connect to analytics tools using JDBC/ODBC connectors. Users can perform analysis and share insights with familiar toolsets. This includes support for common BI tools such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™, as well as Data Science and Machine Learning environments (including Python Notebooks or Apache Spark). The database can be integrated with internal applications as well as web services, including compatibility with open-source visualisation libraries like Cesium.js and Kepler.

Truebit is a blockchain-enhancement that allows smart contracts to securely execute complex computations in standard programming language languages at lower gas costs. Although smart contracts can correctly perform small computations, large computation tasks pose security threats for blockchains. Truebit addresses this problem by providing a trustless retrofitting oracle that correctly executes computation tasks. Any smart contract can issue a computation task via WebAssembly bycode to this oracle, while anonymous "miners," receive rewards for solving the task correctly. The protocol of the oracle guarantees correctness in two layers. There is a consensus layer where anyone can object if there are faulty solutions and an on-chain mechanism that incentivizes participation and ensures fair compensation. These components are formalized through a combination off-chain architecture and smart contracts on-chain.

No per-connection charges for setting up all the automated connections that you need. No per-connection fees for all the automated connections that you need. No technical expertise is required to set up and scale your cloud data warehouse or processing operations. Conversionomics allows you to make mistakes and ask hard questions about your data. You have the power to do whatever you want with your data. Conversionomics creates complex SQL to combine source data with lookups and table relationships. You can use preset joins and common SQL, or create your own SQL to customize your query. Conversionomics is a data aggregation tool with a simple interface that makes it quick and easy to create data API sources. You can create interactive dashboards and reports from these sources using our templates and your favorite data visualization tools.

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.

Smart contracts can be built using mainstream software stacks. You can make a leap from Solidity to the vast array of Linux-supported software components. You can achieve a million-fold increase in computational scalability, large file data availability, and low transaction costs. All this while maintaining the strong security guarantees offered by Ethereum. You can keep your DApps private, from games that hide players' data to Enterprise applications that use sensitive data. Descartes performs large computational tasks off-chain on a Linux virtual computer fully specified by smart contracts. The computations are fully verifiable, and can be enforceable on-chain by Descartes node runners. This preserves the strong security guarantees of underlying blockchain. With multimillion-fold computational gains and strong security guarantees, you can overcome the Ethereum scalability limitations.

MultiChain is a tool that helps organizations build and deploy blockchain apps quickly. In just two easy steps, you can create a new Blockchain and connect it to an existing one. You can deploy unlimited blockchains on a single server to support cross-chain applications. The network can track and verify millions of assets and tokens. Perform atomic exchanges with multiple assets and parties. Create multiple key-value databases, time series databases or identity databases. Store data on or off chain. Ideal for data sharing and timestamping, as well as encrypted archiving. You can control who is able to connect, send or receive transactions, create blocks, assets, streams, and streams. Each blockchain can be as open or closed as you like.

ZK's power allows you to access more data on-chain at a lower price. Use receipts, transactions, and historical states in your smart contract. Axiom allows you to compute over the entire history Ethereum, as verified by ZK-proofs on-chain. Combine data from block headers and accounts, contract storage, receipts, transactions, and receipts. Axiom SDK allows you to specify computations over the history Ethereum in Typescript. Access our library of ZK Primitives for arithmetic and logic operations, as well as array operations. These primitives are verifiable on chain. Axiom verifies on-chain query results with ZK proofs, and sends them to the smart contract callback. Axiom's ZK-verified on-chain results will help you build apps that are truly trustless. Pay protocol participants and evaluate them without any external oracles. Reward protocol contributions on the basis of on-chain behavior even in external protocols. Slash bad behavior according to your own criteria.

TCP/IP + the HTTP protocol of blockchains can build and further expand the Internet of Blockchains to allow cross-platform data and application services between on and off-chain. Terse IBC protocol is used to accelerate heterogeneous interchain tech with NFT transfers and smart contracts interactions. Digitization of assets on Blockchains to facilitate efficient and reliable value transfer and distribution. The Cosmos application ecosystem's vanguard innovation platform, the cross-chain AMM protocol. The IRIS network is part the larger Cosmos network. All zones in the network will be able interact with each other over the standard IBC protocol. We are going to introduce a layer of service semantics to the network. This will allow for a new set of business scenarios and increase the diversity and scale of the Cosmos network.

Beosin EagleEye offers 24/7 security monitoring and notification services for blockchain. It sends customers security alerts and warnings whenever it detects risks such as hacker attacks, frauds or flash loans. 1. 24x7 Monitoring of Blockchain Project Security 2. Risk Transaction Identification: Large Outflow, Flash Loans, Privileged Operation and Exploiter, among others. 3. Alerts and warnings in real-time about security incidents 4. Based on Off-chain and On-chain Data Analysis 5. Multi-dimensional Security Assessments 6. Notification of Blockchain Sentiment Support User Interface & Method API

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.

Hologres, a cloud-native Hybrid Serving & Analytical Processing system (HSAP), is seamlessly integrated into the big data ecosystem. Hologres can be used to process PB-scale data at high concurrency with low latency. Hologres allows you to use your business intelligence (BI), tools to analyze data in multiple dimensions. You can also explore your business in real time. Hologres eliminates data silos and redundancy that are disadvantages of traditional real time data warehousing systems. It can be used to migrate large amounts of data and perform real-time analysis. It responds to queries on PB scale data at sub-second speeds. This speed allows you to quickly analyze data in multiple dimensions and examine your business in real time. Supports concurrent writes and queries at speeds up to 100,000,000 transactions per second (TPS). Data can be accessed immediately after it has been written.

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.

Bitcoin enables decentralized finance. Blockchain for fast, transparent, and intelligent financial services that are accessible to everyone. Decentralized finance can solve problems that traditional finance cannot. It can be trust-based or trust-less. A wide range of crypto-economic financial operations. Unparalleled transaction throughput for all transactions. Turing-incomplete to reduce attack vectors Rapidly create multiple DeFi apps on a single chain. Reliable, decentralized governance on and off-chain. Anchoring to the Bitcoin blockchain makes it immutable. Designed and engineered to support decentralized finance dApps. The DeFiChain wallet application allows you to swap and arbitrage on the DEX and mine liquidity for up 100x high yields. Available for Windows, macOS, and Linux. DeFiChain's account system includes the $DFI coin as an integral unit.

Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.

BigLake is a storage platform that unifies data warehouses, lakes and allows BigQuery and open-source frameworks such as Spark to access data with fine-grained control. BigLake offers accelerated query performance across multicloud storage and open formats like Apache Iceberg. You can store one copy of your data across all data warehouses and lakes. Multi-cloud governance and fine-grained access control for distributed data. Integration with open-source analytics tools, and open data formats is seamless. You can unlock analytics on distributed data no matter where it is stored. While choosing the best open-source or cloud-native analytics tools over a single copy, you can also access analytics on distributed data. Fine-grained access control for open source engines such as Apache Spark, Presto and Trino and open formats like Parquet. BigQuery supports performant queries on data lakes. Integrates with Dataplex for management at scale, including logical organization.

Your data models can be created, edited, and organized. You don't need another data tool to manage your data models. Weld allows you to create and manage them. It is packed with features that make it easy to create your data models: smart autocomplete, code folding and error highlighting, audit logs and version control, collaboration, and version control. We use the same text editor that VS Code - it is fast, powerful, and easy to read. Your queries are organized in a searchable and easily accessible library. Audit logs allow you to see when and by whom the query was last updated. Weld Model allows you to materialize models as views, tables, incremental tables, and views. You can also create custom materializations of your design. With the help of a dedicated team, you can manage all your data operations from one platform.

Sequel provides business intelligence solutions for Power Systems™ running on IBM i. Sequel's powerful query and reporting capabilities make it easy to access, analyze and distribute data exactly the way you want. Sequel provides affordable IBM i business insight to IT professionals, business users, as well as executives. Sequel is trusted by thousands of customers around the world to provide them with the data they need when they need it. IT users can quickly get the software up to speed, integrate existing queries from SQL/400, and deliver data to their users at lightning speed. Sequel's intuitive interfaces (greenscreen, graphical user interface-Sequel Viewpoint and browser) allow IT to turn data access over business users and executives, and free up their time to address more urgent requests. iSeries reporting has never been easier.

Hudi is a rich platform for building streaming data lakes using incremental data pipelines on a self managing database layer. It can also be optimized for regular batch processing and lake engines. Hudi keeps a timeline of all actions on the table at different times. This allows for instantaneous views and efficient retrieval of data in the order they were received. The following components make up a Hudi instant. Hudi provides efficient upserts by mapping a given Hoodie key consistently with a file ID, via an indexing mechanism. Once a record is written to a file, the mapping between record key/file group/file ID never changes. The mapped file group includes all versions of a group record.

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.

Qlik Compose for Data Warehouses, formerly Attunity Compose for Data Warehouses, offers a modern approach to automating and optimizing data warehouse construction and operation. Qlik Compose automates the design of the warehouse, generation of ETL code, and applying updates quickly, all while leveraging best practices, proven design patterns, and best practices. Qlik Compose for Data Warehouses drastically reduces time, cost, and risk for BI projects, on-premises or cloud. Qlik Compose for Data Lakes, formerly Attunity Compose for Data Lakes, automates your data pipelines and creates analytics-ready data sets. Organizations can get more value from their existing data lakes investments by automating data ingestion, schema generation, and continuous updates.

Bi(OS)®, a single platform that provides unparalleled speed and insight for data app developers, enables them to build apps in a more unified way. The entire life-cycle of building data applications takes just hours to complete with bi(OS®. This includes adding diverse data sources, generating real-time insights and deploying to production. Join enterprise data teams from across industries to become the data superhero that your business needs. The promised data-driven impact of Open Source, Cloud, or SaaS has not been realized by the trio of Open Source, Cloud, or SaaS. All the investments made by enterprises have been in data integration and movement, which is not sustainable. A new approach to data is needed that is enterprise-focused. Bi(OS)®, is a reimagining of the first principles of enterprise data management, from ingest through insight. It supports API, AI, BI builders and other unified functions to deliver data-driven impact in days. Engineers create an enduring moat when a symphony between IT teams, tools and processes emerges.

IBM Db2®, a family of hybrid data management tools, offers a complete suite AI-empowered capabilities to help you manage structured and unstructured data both on premises and in private and public clouds. Db2 is built upon an intelligent common SQL engine that allows for flexibility and scalability.

Panoply makes it easy to store, sync and access all your business information in the cloud. With built-in integrations to all major CRMs and file systems, building a single source of truth for your data has never been easier. Panoply is quick to set up and requires no ongoing maintenance. It also offers award-winning support, and a plan to fit any need.

Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.

Many Contract Research Organizations (CROs), as well as drug developers, who conduct toxicology studies internally or externally, find it challenging and critical to consolidate and validate data sets. Savante allows your organization to create, merge and validate preclinical study data from any source. Savante allows scientists and managers to view preclinical data in SEND format. The Savante repository automatically syncs preclinical data from Pristima XD. Data from other sources can also be merged through import and migration, as well as direct loads of data sets. The Savante toolkit handles all the necessary consolidation, study merging and control terminology mapping.

INGEST. PREPARE. DELIVER. ALL WITH A SINGLE TOOL. Build a data infrastructure capable of ingesting, transforming, modeling, and delivering clean, reliable data in the fastest, most efficient way possible - all within a single, low-code user interface. ALL THE DATA INTEGRATION CAPABILITIES YOU NEED IN A SINGLE SOLUTION. TimeXtender seamlessly overlays and accelerates your data infrastructure, which means you can build an end-to-end data solution in days, not months - no more costly delays or disruptions. Say goodbye to a pieced-together Frankenstack of disconnected tools and systems. Say hello to a holistic solution for data integration that's optimized for agility. Unlock the full potential of your data with TimeXtender. Our comprehensive solution enables organizations to build future-proof data infrastructure and streamline data workflows, empowering every member of your team.

100% compatible with Netezza Upgrade via a single command-line line. Available on premises, in the cloud, or hybrid. IBM®, Netezza®, Performance Server for IBM Cloud Pack® Data is an advanced data warehouse platform and analytics platform that is available on premises or on the cloud. This next generation of Netezza includes enhancements to the in-database analytics capabilities. You can do data science and machinelearning with data volumes scaling to the petabytes. Fast failure recovery and failure detection. Upgrade existing systems with a single command-line command. Ability to query multiple systems simultaneously. Select the nearest availability zone or data center, select the required number of compute units, and then go. IBM®, Netezza®, Performance Server for IBM Cloud® for Data is available via Amazon Web Services, Microsoft Azure, and IBM Cloud®. Netezza can be deployed on a private cloud using IBM Cloud Pak Data System.