LinDB vs OneTick
LinDB
lindb.io
OneTick
onetick.comSide by side
| Figure | LinDB | OneTick |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Time-Series Databases | 8.7 (#5) | 8.1 (#13) |
| Deployment | The documentation describes standalone and cluster modes, and deployment as a binary with ETCD as its external dependency. | OneTick can be deployed on premises, hosted on OneMarketData private or public cloud, or run in a hybrid configuration. |
| Integrations | The documentation says data ingestion currently supports FlatBuffers, Protocol Buffers, and InfluxDB protocols. | The platform connects to market data vendors through standard APIs and its Python interface supports packages including Matplotlib, NumPy, Pandas, and Jupyter notebooks. |
| Performance | The maker says a single server could support more than one million write TPS. | The product page states bulk processing rates above 10 million ticks per second per core and real-time collection rates of 400,000 to 600,000 messages per second per core, depending on feed. |
| Product | LinDB is an open-source, cloud-native, horizontally scalable distributed time-series database. | OneTick is a time-series tick data platform for capturing, storing, and analyzing financial data such as prices, trades, and order books. |
| Security | The introduction lists self-governance and defensive capability against malicious users as features. | For hosted services, OneMarketData lists encrypted session authentication, encryption in flight, physical data center security, named-employee access restrictions, security policies, and termination and purge policies. |
| Support | The product page links to GitHub channels for feature requests, bug reports, and questions. | OneMarketData offers professional services from a global team of market data technology specialists to assist with implementation and integration. |
Plans
In their own words
LinDB
LinDB is an open-source distributed time-series database for IoT and IT operations monitoring. It stores and analyzes metrics across IaaS, PaaS, SaaS and application layers, using a schema-free model of metrics, tags and fields. LinQL provides SQL-like syntax for queries and cluster or database operations; data can be inserted and queried through an HTTP REST API, client connections and an admin console. Ingestion supports FlatBuffers, Protocol Buffers and InfluxDB protocols, with Go and Java client libraries listed. The system separates computation from storage and identifies ETCD as its only external dependency. It supports replicas, horizontal scaling, operation across multiple IDCs, and automatic minute, hour and day rollups. Deployment documentation covers standalone and cluster modes, with packages for Linux, Windows and macOS and a Docker guide for Linux. LinDB is free under Apache 2.0. Its data scope is limited to numeric time series with accuracy up to the second; it is not suited to text records or finer time precision.
OneTick
OneTick is an enterprise platform for capturing tick data, managing it, and using it for streaming analytics and research. Its tools support historical simulations, back-tests, trading and market-making strategies, transaction-cost models, and real-time surveillance across equities, fixed income, futures, FX, options, and full order-book data. OneTick states that it has no limits on data volumes, peak rates, or stored-history length. OneTick Cloud provides Python, SQL, and REST API access, visual dashboards, and CSV and Parquet file access. Its global equities, futures, and options coverage spans more than 200 markets, with historical data reaching back decades. Machine-learning event processors support training, prediction, evaluation, and real-time learning, including support vector machines and k-means clustering. Deployments can be on-premise, in OneMarketData private or public cloud, or hybrid. Pricing is on request, and a 30-day trial is listed. Installing the Python package requires credentials from a OneMarketData representative.